CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

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1. GSSR-Net: Geo-Spatial Structural Refinement Network for Remote Sensing Change Detection S. Wang et al. 10.1109/TGRS.2025.3555959
2. PSTNet: Progressive Sampling Transformer Network for Remote Sensing Image Change Detection X. Song et al. 10.1109/JSTARS.2022.3204191
3. Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review G. Cheng et al. 10.3390/rs16132355
4. Semi-Supervised Change Detection With Fourier-Based Frequency Transformation Z. Zhang et al. 10.1109/JSTARS.2024.3414452
5. Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery J. Jia et al. 10.1109/JSTARS.2024.3384545
6. Fusion of UNet and ResNet decisions for change detection using low and high spectral resolution images E. Brahim et al. 10.1007/s11760-024-03185-2
7. HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images C. Han et al. 10.1109/JSTARS.2023.3264802
8. FDFF-Net: A Full-Scale Difference Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images F. Gu et al. 10.1109/JSTARS.2023.3335287
9. Change Detection in Remote-Sensing Images Using Pyramid Pooling Dynamic Sparse Attention Network With Difference Enhancement Z. Li et al. 10.1109/JSTARS.2024.3374050
10. GaMPF: A Full-Scale Gated Message Passing Framework Based on Collaborative Estimation for VHR Remote Sensing Image Change Detection X. Zhao et al. 10.1109/TGRS.2023.3344948
11. DAHT-Net: Deformable Attention-Guided Hierarchical Transformer Network Based on Remote Sensing Image Change Detection G. Shi et al. 10.1109/ACCESS.2023.3307642
12. SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images A. Mohammadian & F. Ghaderi 10.1080/01431161.2023.2225228
13. A Gated Feature Fusion Network With Meta-Encoder and Self-Calibrating Cross Module for Building Change Detection in Remote Sensing Images J. Deng et al. 10.1109/TGRS.2024.3495662
14. Class Imbalance in the Automatic Interpretation of Remote Sensing Images: A Review P. Chen et al. 10.1109/JSTARS.2025.3555567
15. AGCDetNet:An Attention-Guided Network for Building Change Detection in High-Resolution Remote Sensing Images K. Song & J. Jiang 10.1109/JSTARS.2021.3077545
16. ADHR-CDNet: Attentive Differential High-Resolution Change Detection Network for Remote Sensing Images X. Zhang et al. 10.1109/TGRS.2022.3221492
17. HCGNet: A Hybrid Change Detection Network Based on CNN and GNN C. Zhang et al. 10.1109/TGRS.2023.3349069
18. Lighter and Robust: A Rotation-Invariant Transformer for VHR Image Change Detection L. Sun et al. 10.1109/TGRS.2024.3381971
19. Deeper Multiscale Encoding–Decoding Feature Fusion Network for Change Detection of VHR Images J. Yang et al. 10.1109/LGRS.2023.3330867
20. Semantic-Aware Remote Sensing Change Detection with Multi-Scale Cross-Attention X. Zheng et al. 10.3390/s25092813
21. SUMLP: A Siamese U-shaped MLP-based network for change detection C. Zhang et al. 10.1016/j.asoc.2022.109766
22. Remote Sensing Image Change Detection Combined With Saliency H. Zhang et al. 10.1109/JSEN.2024.3390674
23. Multi-scale graph reasoning network for remote sensing image change detection Y. Shangguan et al. 10.1080/01431161.2023.2221797
24. LFHNet: Lightweight Full-Scale Hybrid Network for Remote Sensing Change Detection X. Jiang et al. 10.1109/JSTARS.2024.3400458
25. Changes detection of remote sensing images using two-stream two-stream deep neural network Y. Hasanzadeh et al. 10.61186/jgst.13.1.55
26. DAFNet: A Novel Change-Detection Model for High-Resolution Remote-Sensing Imagery Based on Feature Difference and Attention Mechanism C. Ma et al. 10.3390/rs15153896
27. LWCCNet: Lightweight Remote Sensing Change Detection Network Based on Composite Convolution Operator L. Wang et al. 10.1109/JSTARS.2023.3314133
28. MDINet: Multidomain Incremental Network for Change Detection L. Weng et al. 10.1109/TGRS.2023.3348878
29. Building Instance Change Detection from High Spatial Resolution Remote Sensing Images Using Improved Instance Segmentation Architecture L. Yan et al. 10.1007/s12524-022-01601-z
30. Enhanced Feature Interaction Network for Remote Sensing Change Detection S. Liang et al. 10.1109/LGRS.2023.3319648
31. MAFF-Net: Multi-Attention Guided Feature Fusion Network for Change Detection in Remote Sensing Images J. Ma et al. 10.3390/s22030888
32. One Token for Detecting Various Changes D. Wang et al. 10.1109/TGRS.2025.3536473
33. Feature Weighted Attention—Bidirectional Long Short Term Memory Model for Change Detection in Remote Sensing Images R. Patra et al. 10.3390/rs14215402
34. Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images Z. Li et al. 10.1016/j.jag.2025.104393
35. CLHF-Net: A Channel-Level Hierarchical Feature Fusion Network for Remote Sensing Image Change Detection J. Ma et al. 10.3390/sym14061138
36. CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery Z. Zheng et al. 10.1016/j.isprsjprs.2021.03.005
37. A CBAM Based Multiscale Transformer Fusion Approach for Remote Sensing Image Change Detection W. Wang et al. 10.1109/JSTARS.2022.3198517
38. SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection J. Wang et al. 10.1109/JSTARS.2023.3267137
39. DFPF-Net: Dynamically Focused Progressive Fusion Network for Remote Sensing Change Detection C. Wang et al. 10.1109/JSTARS.2025.3531658
40. DASUNet: a deeply supervised change detection network integrating full-scale features R. Miao et al. 10.1038/s41598-024-63257-8
41. A feature enhancement network combining UNet and vision transformer for building change detection in high-resolution remote sensing images Y. Sun et al. 10.1007/s00521-024-10666-5
42. CSTSUNet: A Cross Swin Transformer-Based Siamese U-Shape Network for Change Detection in Remote Sensing Images Y. Wu et al. 10.1109/TGRS.2023.3326813
43. Cascaded U-Net with Training Wheel Attention Module for Change Detection in Satellite Images E. Adil et al. 10.3390/rs14246361
44. High-Resolution Remote Sensing Image Change Detection Method Based on Improved Siamese U-Net Q. Wang et al. 10.3390/rs15143517
45. On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID Y. Long et al. 10.1109/JSTARS.2021.3070368
46. Spectral Knowledge Transfer for Remote Sensing Change Detection H. Zheng et al. 10.1109/TGRS.2023.3346879
47. Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change A. Olteanu-Raimond et al. 10.3390/rs12071186
48. MFGFNet: A Multi-Scale Remote Sensing Change Detection Network Using the Global Filter in the Frequency Domain S. Yuan et al. 10.3390/rs15061682
49. Meta‐learning shows great potential in plant disease recognition under few available samples X. Wu et al. 10.1111/tpj.16176
50. High–Low Frequency Reduction Model for Real-Time Change Detection and Coregistration in Location Discrepancy Sensing Images X. Xu et al. 10.1109/LGRS.2021.3129771
51. An Empirical Study of Remote Sensing Pretraining D. Wang et al. 10.1109/TGRS.2022.3176603
52. Self-Supervised Learning for High-Resolution Remote Sensing Images Change Detection With Variational Information Bottleneck C. Wang et al. 10.1109/JSTARS.2023.3288294
53. Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities L. Zhang & L. Zhang 10.1109/MGRS.2022.3145854
54. CDMamba: Incorporating Local Clues Into Mamba for Remote Sensing Image Binary Change Detection H. Zhang et al. 10.1109/TGRS.2025.3545012
55. HSAA-CD: A Hierarchical Semantic Aggregation Mechanism and Attention Module for Non-Agricultural Change Detection in Cultivated Land F. Li et al. 10.3390/rs16081372
56. High-resolution triplet network with dynamic multiscale feature for change detection on satellite images X. Hou et al. 10.1016/j.isprsjprs.2021.05.001
57. Multi-Level Difference Network for Change Detection from Very High-Resolution Remote Sensing Images: A Case Study in Open-Pit Mines W. Li et al. 10.3390/rs15143482
58. SFDA-CD: A Source-Free Unsupervised Domain Adaptation for VHR Image Change Detection J. Wang & C. Wu 10.3390/rs16071274
59. TINYCD: a (not so) deep learning model for change detection A. Codegoni et al. 10.1007/s00521-022-08122-3
60. Efficient Adjacent Feature Harmonizer Network With UAV-CD+ Dataset for Remote Sensing Change Detection Y. Zhai et al. 10.1109/TGRS.2024.3502768
61. Multiscale Context Aggregation Network for Building Change Detection Using High Resolution Remote Sensing Images J. Dong et al. 10.1109/LGRS.2021.3121094
62. CTIDRNet: Cross-Temporal Interaction With Difference Refinement Network for Remote Sensing Image Change Detection K. Du et al. 10.1109/LGRS.2024.3507760
63. Bilateral Attention U-Net with Dissimilarity Attention Gate for Change Detection on Remote Sensing Imageries J. Lee et al. 10.3390/app13042485
64. A Triple-Stream Network With Cross-Stage Feature Fusion for High-Resolution Image Change Detection Y. Zhao et al. 10.1109/TGRS.2022.3233849
65. FRCD: Feature Refine Change Detection Network for Remote Sensing Images Z. Wang et al. 10.1109/LGRS.2023.3303200
66. AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation L. Ran et al. 10.1109/TGRS.2025.3551504
67. SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images D. Peng et al. 10.1109/TGRS.2020.3011913
68. Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images T. Lei et al. 10.1109/TGRS.2023.3261273
69. HiFE-GAN: Semantic Synthesis of GPR B-Scan Images by High-Frequency Encoding GAN B. Wang & S. Wu 10.1109/TGRS.2025.3540974
70. MFIHNet: Multiscale Feature Interaction Hybrid Network for Change Detection of Remote Sensing Images L. Cao et al. 10.1109/JSTARS.2024.3450287
71. DSFI-CD: Diffusion-Guided Spatial-Frequency-Domain Information Interaction for Remote Sensing Image Change Detection X. Li et al. 10.1109/TGRS.2025.3544402
72. SSLChange: A Self-Supervised Change Detection Framework Based on Domain Adaptation Y. Zhao et al. 10.1109/TGRS.2024.3489615
73. DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images J. Chen et al. 10.1109/JSTARS.2020.3037893
74. CBSASNet: A Siamese Network Based on Channel Bias Split Attention for Remote Sensing Change Detection N. He et al. 10.1109/TGRS.2024.3405025
75. Mining Joint Intraimage and Interimage Context for Remote Sensing Change Detection F. Zhou et al. 10.1109/TGRS.2023.3275819
76. ELGC-Net: Efficient Local–Global Context Aggregation for Remote Sensing Change Detection M. Noman et al. 10.1109/TGRS.2024.3362914
77. EMS-CDNet: an efficient multi-scale-fusion change detection network for very high-resolution remote sensing images Z. Zheng et al. 10.1080/01431161.2022.2131479
78. Semisupervised Change Detection With Feature-Prediction Alignment X. Zhang et al. 10.1109/TGRS.2023.3247605
79. TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images Q. Li et al. 10.1109/TGRS.2022.3169479
80. Difference Guidance Learning With Feature Alignment for Change Detection Y. Liu et al. 10.1109/TGRS.2024.3440001
81. A Change Detection Method for Remote Sensing Images Based on Coupled Dictionary and Deep Learning W. Yang et al. 10.1155/2022/3404858
82. Unsupervised Change Detection in Satellite Images With Generative Adversarial Network C. Ren et al. 10.1109/TGRS.2020.3043766
83. A Semi-Supervised Deep Learning Framework for Change Detection in Open-Pit Mines Using SAR Imagery G. Murdaca et al. 10.3390/rs15245664
84. Multi-scale feature progressive fusion network for remote sensing image change detection D. Lu et al. 10.1038/s41598-022-16329-6
85. IRA-MRSNet: A Network Model for Change Detection in High-Resolution Remote Sensing Images J. Ling et al. 10.3390/rs14215598
86. HARNU-Net: Hierarchical Attention Residual Nested U-Net for Change Detection in Remote Sensing Images H. Li et al. 10.3390/s22124626
87. Geometric Variation Adaptive Network for Remote Sensing Image Change Detection S. Huo et al. 10.1109/TGRS.2024.3363431
88. Harmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing images M. Cheng et al. 10.1016/j.isprsjprs.2024.09.002
89. A Siamese Network with a Multiscale Window-Based Transformer via an Adaptive Fusion Strategy for High-Resolution Remote Sensing Image Change Detection C. Tao et al. 10.3390/rs15092433
90. ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning S. Dong et al. 10.1016/j.isprsjprs.2024.01.004
91. Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote Sensing Images: A Review S. Saidi et al. 10.3390/rs16203852
92. Spatial–Spectral and Channel–Spectral Differences Integration Network for Remote Sensing Image Change Detection Z. Lu et al. 10.1109/JSTARS.2025.3528185
93. Remote Sensing Image Change Detection Transformer Network Based on Dual-Feature Mixed Attention X. Song et al. 10.1109/TGRS.2022.3209972
94. GeSANet: Geospatial-Awareness Network for VHR Remote Sensing Image Change Detection X. Zhao et al. 10.1109/TGRS.2023.3272550
95. Leveraging Diffusion Modeling for Remote Sensing Change Detection in Built-Up Urban Areas R. Wan et al. 10.1109/ACCESS.2024.3350641
96. Semantic-aware transformer with feature integration for remote sensing change detection P. Li et al. 10.1016/j.engappai.2024.108774
97. High-Resolution Remote-Sensing Image-Change Detection Based on Morphological Attribute Profiles and Decision Fusion C. Wang et al. 10.1155/2020/8360361
98. Feature alignment and refinement for Remote Sensing images change Detection Y. Liu et al. 10.1080/01431161.2023.2288949
99. HASNet: A Foreground Association-Driven Siamese Network With Hard Sample Optimization for Remote Sensing Image Change Detection C. Tao et al. 10.1109/TGRS.2025.3545760
100. GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature-Guided DDPM Y. Wen et al. 10.1109/TGRS.2024.3381752
101. IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection Q. Guo et al. 10.1109/TETCI.2025.3529893
102. Change Detection for High-Resolution Remote Sensing Images Based on a Multi-Scale Attention Siamese Network J. Li et al. 10.3390/rs14143464
103. Domain Adaptive and Interactive Differential Attention Network for Remote Sensing Image Change Detection Y. Ji et al. 10.1109/TGRS.2024.3382116
104. Exploring Image Generation for UAV Change Detection X. Li et al. 10.1109/JAS.2022.105629
105. MLDFNet: A Multilabel Dual-Flow Network for Change Detection in Bitemporal Remote Sensing Images D. Sidekejiang et al. 10.1109/JSTARS.2025.3530146
106. A data fusion-based framework to integrate multi-source VGI in an authoritative land use database L. Liu et al. 10.1080/17538947.2020.1842524
107. EFP-Net: A Novel Building Change Detection Method Based on Efficient Feature Fusion and Foreground Perception R. He et al. 10.3390/rs15225268
108. GeoFormer: A Geometric Representation Transformer for Change Detection J. Zhao et al. 10.1109/TGRS.2023.3331751
109. Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery for On-Board Processing G. Wang et al. 10.1109/JSTARS.2024.3354944
110. SCA-CDNet: a robust siamese correlation-and-attention-based change detection network for bitemporal VHR images S. Pang et al. 10.1080/01431161.2021.1941390
111. From Multiple Independent Metrics to Single Performance Measure Based on Objective Function A. Nandi 10.1109/ACCESS.2023.3235014
112. DCFF-Net: A Densely Connected Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images F. Pan et al. 10.1109/JSTARS.2021.3129318
113. SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image J. Wang et al. 10.1109/TGRS.2023.3286113
114. Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms L. Wang et al. 10.3390/rs16050804
115. Learning Token-Aligned Representations With Multimodel Transformers for Different-Resolution Change Detection M. Liu et al. 10.1109/TGRS.2022.3200684
116. 用于遥感图像变化检测的结构感知多尺度混合网络 刘. Liu Qi et al. 10.3788/LOP240514
117. Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions M. Liu et al. 10.1109/TGRS.2021.3091758
118. CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model S. Liu et al. 10.1109/JSTARS.2025.3559085
119. Change Detection of High-Resolution Remote Sensing Images Through Adaptive Focal Modulation on Hierarchical Feature Maps L. Fazry et al. 10.1109/ACCESS.2023.3292531
120. CDZoom: a human-like sequential zoom agent for efficient change detection in large scenes Y. Lin et al. 10.1007/s00521-022-08096-2
121. Remote sensing image change detection network with multi-scale feature information mining and fusion S. Xue et al. 10.1007/s10044-025-01420-1
122. MapsNet: Multi-level feature constraint and fusion network for change detection J. Pan et al. 10.1016/j.jag.2022.102676
123. VisionTwinNet: Gated Clarity Enhancement Paired With Light-Robust CD Transformers T. Chen & A. Chen 10.1109/ACCESS.2024.3350173
124. 3DGS-CD: 3D Gaussian Splatting-Based Change Detection for Physical Object Rearrangement Z. Lu et al. 10.1109/LRA.2025.3533457
125. A communication-efficient distributed deep learning remote sensing image change detection framework H. Cheng et al. 10.1016/j.jag.2024.103840
126. BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment H. Zhang et al. 10.1109/TGRS.2024.3376673
127. MAMI-CD: Multistage Attention Network for Change Detection With Mixed Feature Interaction M. Han et al. 10.1109/JSTARS.2024.3445908
128. ISNet: Towards Improving Separability for Remote Sensing Image Change Detection G. Cheng et al. 10.1109/TGRS.2022.3174276
129. AANet: An Ambiguity-Aware Network for Remote-Sensing Image Change Detection R. Hang et al. 10.1109/TGRS.2024.3371463
130. A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection Q. Shi et al. 10.1109/TGRS.2021.3085870
131. Dual-Granularity Feature Alignment for Change Detection in Remote Sensing Images F. Zhou et al. 10.1109/JSTARS.2025.3526795
132. Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks P. de Bem et al. 10.3390/rs12060901
133. WNet: W-Shaped Hierarchical Network for Remote-Sensing Image Change Detection X. Tang et al. 10.1109/TGRS.2023.3296383
134. TransUNet++SAR: Change Detection with Deep Learning about Architectural Ensemble in SAR Images Y. Du et al. 10.3390/rs15010006
135. Change Detection Meets Frequency Learning: A Coarse-to-Fine Dual-Domain Detection Network W. Zhang et al. 10.1109/TGRS.2025.3549818
136. TCIANet: Transformer-Based Context Information Aggregation Network for Remote Sensing Image Change Detection X. Xu et al. 10.1109/JSTARS.2023.3241157
137. Robust Change Detection Using Channel-Wise co-Attention-Based Siamese Network With Contrastive Loss Function E. Choi & J. Kim 10.1109/ACCESS.2022.3170704
138. Joint Self-Training and Rebalanced Consistency Learning for Semi-Supervised Change Detection X. Zhang et al. 10.1109/TGRS.2023.3314452
139. An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing images Y. Sun et al. 10.1016/j.acags.2024.100210
140. MFMENet: multi-scale features mutual enhancement network for change detection in remote sensing images S. Li et al. 10.1080/01431161.2024.2343139
141. DTT-CGINet: A Dual Temporal Transformer Network with Multi-Scale Contour-Guided Graph Interaction for Change Detection M. Chen et al. 10.3390/rs16050844
142. EATDer: Edge-Assisted Adaptive Transformer Detector for Remote Sensing Change Detection J. Ma et al. 10.1109/TGRS.2023.3344083
143. Toward Efficient Remote Sensing Image Change Detection via Cross-Temporal Context Learning Z. Song et al. 10.1109/TGRS.2023.3280902
144. MGC: MLP-Guided CNN Pretraining Using a Small-Scale Dataset for Remote Sensing Images Z. Li et al. 10.1109/TGRS.2024.3407824
145. Learning Remote Sensing Aleatoric Uncertainty for Semi-Supervised Change Detection J. Shen et al. 10.1109/TGRS.2024.3437250
146. A Deep Learning Based Platform for Remote Sensing Images Change Detection Integrating Crowdsourcing and Active Learning Z. Wang et al. 10.3390/s24051509
147. Change Detection Needs Neighborhood Interaction in Transformer H. Ma et al. 10.3390/rs15235459
148. MixCDNet: A Lightweight Change Detection Network Mixing Features Across CNN and Transformer L. Wang et al. 10.1109/TGRS.2024.3438228
149. Cross-Level Attentive Feature Aggregation for Change Detection G. Wang et al. 10.1109/TCSVT.2023.3344092
150. ChangeRD: A registration-integrated change detection framework for unaligned remote sensing images W. Jing et al. 10.1016/j.isprsjprs.2024.11.019
151. Remote Sensing Image Change Detection With Transformers H. Chen et al. 10.1109/TGRS.2021.3095166
152. DIAFNet: A Dynamic Interactive Adaptive Fusion Network Based on Enhanced Differential Features R. Zhao et al. 10.1109/LGRS.2024.3359719
153. SIAM-CDNET: A Remote Sensing Image Change Detection Network for Optimized Edge Detection and Mitigation of Pseudo Changes Y. Zhang & W. Xue 10.1109/ACCESS.2024.3451473
154. CANet: A Combined Attention Network for Remote Sensing Image Change Detection D. Lu et al. 10.3390/info12090364
155. Exchanging Dual-Encoder–Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization S. Zhao et al. 10.1109/TGRS.2023.3327780
156. Cross-Visual Style Change Detection for Remote Sensing Images via Representation Consistency Deep Supervised Learning J. Wei et al. 10.3390/rs17050798
157. Progressive Domain Adaptation for Change Detection Using Season-Varying Remote Sensing Images R. Kou et al. 10.3390/rs12223815
158. A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images E. Parelius 10.3390/rs15082092
159. MCHA-Net: A multi-end composite higher-order attention network guided with hierarchical supervised signal for high-resolution remote sensing image change detection H. Zhang et al. 10.1016/j.isprsjprs.2023.05.033
160. ESR-DMNet: Enhanced Super-Resolution-Based Dual-Path Metric Change Detection Network for Remote Sensing Images With Different Resolutions X. Li et al. 10.1109/TGRS.2024.3362895
161. Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative Study V. Kristollari & V. Karathanassi 10.1109/ACCESS.2022.3161978
162. AERNet: An Attention-Guided Edge Refinement Network and a Dataset for Remote Sensing Building Change Detection J. Zhang et al. 10.1109/TGRS.2023.3300533
163. Frequency-Enhanced Mamba for Remote Sensing Change Detection Y. Xing et al. 10.1109/LGRS.2025.3551754
164. Remote-Sensing Image Change Detection Based on Adjacent-Level Feature Fusion and Dense Skip Connections B. Huang et al. 10.1109/JSTARS.2024.3374290
165. SAAN: Similarity-Aware Attention Flow Network for Change Detection With VHR Remote Sensing Images H. Guo et al. 10.1109/TIP.2024.3349868
166. CAS-Net: Comparison-Based Attention Siamese Network for Change Detection With an Open High-Resolution UAV Image Dataset Y. Zhai et al. 10.1109/TGRS.2024.3386918
167. Adaptive Spatial and Difference Learning for Change Detection Y. Liu et al. 10.1109/JSTARS.2023.3298097
168. Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images H. Lee et al. 10.1109/JSTARS.2021.3069242
169. MDFA-Net: Multi-Scale Differential Feature Self-Attention Network for Building Change Detection in Remote Sensing Images Y. Li et al. 10.3390/rs16183466
170. Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images H. Chen et al. 10.1109/TGRS.2021.3066802
171. HeteCD: Feature Consistency Alignment and difference mining for heterogeneous remote sensing image change detection W. Jing et al. 10.1016/j.isprsjprs.2025.03.008
172. Optical Remote Sensing Image Change Detection Based on Attention Mechanism and Image Difference X. Peng et al. 10.1109/TGRS.2020.3033009
173. EUNet-CD: Efficient UNet++ for Change Detection of Very High-Resolution Remote Sensing Images A. Raza et al. 10.1109/LGRS.2022.3144304
174. SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection C. Zhang et al. 10.1109/TGRS.2022.3160007
175. ESMII-Net: An edge-synergy and multidimensional information interaction network for remote sensing change detection Y. Chen et al. 10.1016/j.jag.2025.104507
176. FCDNet: A Change Detection Network Based on Full-Scale Skip Connections and Coordinate Attention X. Xiang et al. 10.1109/LGRS.2022.3184179
177. BASNet: A Boundary-Aware Siamese Network for Accurate Remote-Sensing Change Detection H. Wei et al. 10.1109/LGRS.2021.3119885
178. AFSNet: attention-guided full-scale feature aggregation network for high-resolution remote sensing image change detection M. Jiang et al. 10.1080/15481603.2022.2142626
179. DLB-CNet: Difference Learning-Based Convolution Network for Building Change Detection Z. Fan et al. 10.1109/TVLSI.2024.3438728
180. Analysis and Verification of Building Changes Based on Point Clouds from Different Sources and Time Periods U. Marmol & N. Borowiec 10.3390/rs15051414
181. Change detection of multisource remote sensing images: a review W. Jiang et al. 10.1080/17538947.2024.2398051
182. Network and Dataset for Multiscale Remote Sensing Image Change Detection S. Liu et al. 10.1109/JSTARS.2024.3522135
183. Boundary Extraction Constrained Siamese Network for Remote Sensing Image Change Detection J. Lei et al. 10.1109/TGRS.2022.3165851
184. A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images H. Cheng et al. 10.1016/j.isprsjprs.2021.10.001
185. Transformer-based multi-scale feature fusion network for remote sensing change detection S. Liang et al. 10.1117/1.JRS.16.046509
186. Simulation of GPR B-Scan Data Based on Dense Generative Adversarial Network B. Wang et al. 10.1109/JSTARS.2023.3267482
187. DCAT: Dual Cross-Attention-Based Transformer for Change Detection Y. Zhou et al. 10.3390/rs15092395
188. Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection Z. Zheng et al. 10.1007/s11263-024-02141-4
189. Continuous Cross-Resolution Remote Sensing Image Change Detection H. Chen et al. 10.1109/TGRS.2023.3325829
190. Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey L. Jiao et al. 10.1109/JSTARS.2023.3247455
191. Remote Sensing Image Change Detection Based on Lightweight Transformer and Multiscale Feature Fusion J. Li et al. 10.1109/JSTARS.2025.3529529
192. HDFNet: Hierarchical Dynamic Fusion Network for Change Detection in Optical Aerial Images Y. Zhang et al. 10.3390/rs13081440
193. Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection W. Zhao et al. 10.1109/TGRS.2019.2953879
194. Multiple Attention Siamese Network for High-Resolution Image Change Detection J. Huang et al. 10.1109/TGRS.2021.3127580
195. CSDACD: Domain-Adaptive Change Detection Network for Cross-Seasonal Remote Sensing Images Y. Huang & P. Zhang 10.1109/LGRS.2024.3431212
196. RDP-Net: Region Detail Preserving Network for Change Detection H. Chen et al. 10.1109/TGRS.2022.3227098
197. MATNet: Multilevel attention-based transformers for change detection in remote sensing images Z. Zhang et al. 10.1016/j.imavis.2024.105294
198. A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images H. Jiang et al. 10.3390/rs14071552
199. A Combined Loss-Based Multiscale Fully Convolutional Network for High-Resolution Remote Sensing Image Change Detection X. Li et al. 10.1109/LGRS.2021.3098774
200. Developing approaches in building classification and extraction with synergy of YOLOV8 and SAM models A. Khatua et al. 10.1007/s41324-024-00574-0
201. HMCNet: Hybrid Efficient Remote Sensing Images Change Detection Network Based on Cross-Axis Attention MLP and CNN L. Wang & H. Li 10.1109/TGRS.2022.3215244
202. STCD: efficient Siamese transformers-based change detection method for remote sensing images D. Wang et al. 10.1080/10095020.2022.2157762
203. Cross attention is all you need: relational remote sensing change detection with transformer K. Lu et al. 10.1080/15481603.2024.2380126
204. Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya R. Shults et al. 10.3390/rs17040616
205. PSNet: change detection with prototype similarity P. Tang et al. 10.1007/s00371-021-02177-4
206. Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity J. Xu et al. 10.3390/rs13153053
207. Exploring the Cross-Temporal Interaction: Feature Exchange and Enhancement for Remote Sensing Change Detection Y. Liu et al. 10.1109/JSTARS.2024.3413715
208. DifUnet++: A Satellite Images Change Detection Network Based on Unet++ and Differential Pyramid X. Zhang et al. 10.1109/LGRS.2021.3049370
209. A Change Detection Method Based on Full-scale Skip Connections and Mixed Pooling Module D. Tian 10.1088/1742-6596/2258/1/012059
210. A Deeply Supervised Attentive High-Resolution Network for Change Detection in Remote Sensing Images J. Wu et al. 10.3390/rs15010045
211. A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios Y. You et al. 10.3390/rs12152460
212. ECPS: Cross Pseudo Supervision Based on Ensemble Learning for Semi-Supervised Remote Sensing Change Detection Y. Yang et al. 10.1109/TGRS.2024.3370236
213. MCECF: A Multiscale Complementary Enhanced Context Fusion Network for Remote Sensing Change Detection Z. Huang et al. 10.1109/TGRS.2025.3556237
214. SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images S. Fang et al. 10.1109/LGRS.2021.3056416
215. A Deep Learning Approach to Extract Internal Tides Scattered by Geostrophic Turbulence H. Wang et al. 10.1029/2022GL099400
216. LRDE-Net: Large Receptive Field and Image Difference Enhancement Network for Remote Sensing Images Change Detection L. Li et al. 10.1109/JSTARS.2023.3326962
217. MFATNet: Multi-Scale Feature Aggregation via Transformer for Remote Sensing Image Change Detection Z. Mao et al. 10.3390/rs14215379
218. D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection L. Wan et al. 10.1109/TGRS.2022.3213925
219. Sample Inflation Interpolation for Consistency Regularization in Remote Sensing Change Detection Z. Jiang et al. 10.3390/math12223577
220. StyleFormer: Spatial–Temporal Style Projecting Bidirectional Interactive Transformer for Change Detection Q. Han et al. 10.1109/TGRS.2025.3535496
221. CSA-CDGAN: channel self-attention-based generative adversarial network for change detection of remote sensing images Z. Wang et al. 10.1007/s00521-022-07637-z
222. Bitemporal Attention Sharing Network for Remote Sensing Image Change Detection Z. Wang et al. 10.1109/JSTARS.2024.3400925
223. MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images W. Ren et al. 10.3390/rs16071269
224. Content-Invariant Dual Learning for Change Detection in Remote Sensing Images B. Fang et al. 10.1109/TGRS.2021.3064501
225. Remote Sensing Image Change Detection Based on Deep Multi-Scale Multi-Attention Siamese Transformer Network M. Zhang et al. 10.3390/rs15030842
226. Unsupervised Noise-Resistant Remote-Sensing Image Change Detection: A Self-Supervised Denoising Network-, FCM_SICM-, and EMD Metric-Based Approach J. Xie et al. 10.3390/rs16173209
227. MFNet: Mutual Feature-Aware Networks for Remote Sensing Change Detection Q. Zhang et al. 10.3390/rs15082145
228. A Position-Temporal Awareness Transformer for Remote Sensing Change Detection Y. Liu et al. 10.1109/TGRS.2024.3432320
229. Laplacian Pyramid Network With Hybrid Encoder and Edge Guidance for Remote Sensing Change Detection W. Yan et al. 10.1109/JSTARS.2024.3491762
230. Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery E. Bousias Alexakis & C. Armenakis 10.1080/07038992.2021.1922880
231. SAASNets: Shared attention aggregation Siamese networks for building change detection in multispectral remote sensing S. Pang et al. 10.1371/journal.pone.0306755
232. A Triple-Branch Hybrid Attention Network With Bitemporal Feature Joint Refinement for Remote-Sensing Image Semantic Change Detection H. Chang et al. 10.1109/TGRS.2024.3376384
233. Unsupervised Bayesian change detection for remotely sensed images W. Gharbi et al. 10.1007/s11760-020-01738-9
234. MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion S. Jiang et al. 10.3390/rs16081387
235. Hyperboloid-Embedded Siamese Network for Change Detection in Remote Sensing Images Q. Yang et al. 10.1109/JSTARS.2024.3390427
236. A Survey on the Datasets and Algorithms for Satellite Data Applications M. Affek & J. Szymański 10.1109/JSTARS.2024.3424954
237. TransC-GD-CD: Transformer-Based Conditional Generative Diffusion Change Detection Model Y. Wen et al. 10.1109/JSTARS.2024.3373201
238. A practically feasible transfer learning method for deep-temporal urban change monitoring G. Zitzlsberger et al. 10.1080/01431161.2023.2243021
239. Synthesis and evaluation of seamless, large-scale, multispectral satellite images using Generative Adversarial Networks on land use and land cover and Sentinel-2 data T. Dedring & A. Rienow 10.1080/15481603.2024.2364460
240. Change Detection With Cross-Domain Remote Sensing Images: A Systematic Review J. Chen et al. 10.1109/JSTARS.2024.3416183
241. DSQNet: Enhancing Change Detection Network via Deep Semantics Query for Remote Sensing Images Z. Qin & L. Zhang 10.1109/LGRS.2024.3474181
242. Remote Sensing Change Detection With Bitemporal and Differential Feature Interactive Perception H. Chang et al. 10.1109/TIP.2024.3424335
243. Dynamically Updated Semi-Supervised Change Detection Network Combining Cross-Supervision and Screening Algorithms S. Yuan et al. 10.1109/TGRS.2024.3369059
244. DPCC-Net: Dual-perspective change contextual network for change detection in high-resolution remote sensing images Q. Shu et al. 10.1016/j.jag.2022.102940
245. ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images H. Zhang et al. 10.1109/TNNLS.2021.3089332
246. HFIFNet: Hierarchical Feature Interaction Network With Multiscale Fusion for Change Detection M. Han et al. 10.1109/JSTARS.2025.3528053
247. A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection R. Zhou et al. 10.1109/TGRS.2023.3344751
248. Remote Sensing Change Detection With Transformers Trained From Scratch M. Noman et al. 10.1109/TGRS.2024.3383800
249. Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks S. Chang et al. 10.1109/TGRS.2024.3424532
250. MSSM-SCDNet: A Multiclass Semantic Change Detection Network Suitable for Coastal Areas Based on Multiband Spatial-spectral Attention Mechanism Z. Liu et al. 10.1109/JSTARS.2024.3422901
251. ConvTransNet: A CNN–Transformer Network for Change Detection With Multiscale Global–Local Representations W. Li et al. 10.1109/TGRS.2023.3272694
252. An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection K. Song et al. 10.3390/rs13245152
253. Change Detection Based on Supervised Contrastive Learning for High-Resolution Remote Sensing Imagery J. Wang et al. 10.1109/TGRS.2023.3236664
254. An Object Fine-Grained Change Detection Method Based on Frequency Decoupling Interaction for High-Resolution Remote Sensing Images Y. Tang et al. 10.1109/TGRS.2023.3337816
255. Self-Attention and Convolution Fusion Network for Land Cover Change Detection over a New Data Set in Wenzhou, China Y. Zhu et al. 10.3390/rs14235969
256. Coarse-to-Fine Satellite Images Change Detection Framework via Boundary-Aware Attentive Network Y. Zhang et al. 10.3390/s20236735
257. Joint Frequency-Spatial Domain Network for Remote Sensing Optical Image Change Detection Y. Zhou et al. 10.1109/TGRS.2022.3196040
258. Robust feature aggregation network for lightweight and effective remote sensing image change detection Z. You et al. 10.1016/j.isprsjprs.2024.06.013
259. Remote Sensing Image Change Detection Network Based on Twin High-Resolution Representation X. Wu et al. 10.1155/2023/4200153
260. Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network D. Zheng et al. 10.1109/JSTARS.2023.3348630
261. NestNet: a multiscale convolutional neural network for remote sensing image change detection X. Yu et al. 10.1080/01431161.2021.1906982
262. LCDNet: Lightweight Change Detection Network With Dual-Attention Guidance and Multiscale Feature Fusion for Remote-Sensing Images J. Li et al. 10.1109/LGRS.2023.3337877
263. Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges W. Shi et al. 10.3390/rs12101688
264. HFNet: Semantic and Differential Heterogenous Fusion Network for Remote Sensing Image Change Detection Y. Han et al. 10.1007/s41651-024-00202-3
265. A Siamese Swin-Unet for image change detection Y. Tang et al. 10.1038/s41598-024-54096-8
266. Pretrain a Remote Sensing Foundation Model by Promoting Intra-Instance Similarity X. An et al. 10.1109/TGRS.2024.3469568
267. Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping S. Shi et al. 10.1080/17538947.2023.2246445
268. End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++ D. Peng et al. 10.3390/rs11111382
269. Multilevel feature aggregation and enhancement network for remote sensing change detection W. Yan et al. 10.1117/1.JRS.18.016513
270. MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection K. Jiang et al. 10.1109/TGRS.2023.3328334
271. Fully convolutional siamese networks based change detection for optical aerial images with focal contrastive loss Z. Wang et al. 10.1016/j.neucom.2021.06.059
272. CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection L. Wan et al. 10.1109/JSTARS.2023.3327340
273. MSFF-CDNet: A Multiscale Feature Fusion Change Detection Network for Bi-Temporal High-Resolution Remote Sensing Image L. Wang et al. 10.1109/LGRS.2023.3305623
274. A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection M. Mignotte 10.1109/TGRS.2020.2986239
275. Bio-inspired Multi-Sensory Pathway Network for Change Detection K. Liu & X. Li 10.1007/s12559-021-09968-w
276. A CNN-Transformer Network Combining CBAM for Change Detection in High-Resolution Remote Sensing Images M. Yin et al. 10.3390/rs15092406
277. Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection X. Zhang et al. 10.1109/TGRS.2023.3245674
278. MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining D. Wang et al. 10.1109/JSTARS.2024.3408154
279. A Novel Remote Sensing Image Change Detection Approach Based on Multilevel State Space Model Z. Zhang et al. 10.1109/TGRS.2024.3501303
280. ForkNet: Strong Semantic Feature Representation and Subregion Supervision for Accurate Remote Sensing Change Detection H. He et al. 10.1109/JSTARS.2022.3152775
281. RISNet: Robust Ill-Posed Solver for Remote Sensing Image Change Detection Y. Chong et al. 10.1109/JSTARS.2025.3541260
282. A Densely Attentive Refinement Network for Change Detection Based on Very-High-Resolution Bitemporal Remote Sensing Images Z. Li et al. 10.1109/TGRS.2022.3159544
283. SChanger: Change Detection From a Semantic Change and Spatial Consistency Perspective Z. Zhou et al. 10.1109/JSTARS.2025.3555849
284. Robust Instance-Based Semi-Supervised Learning Change Detection for Remote Sensing Images Y. Zuo et al. 10.1109/TGRS.2024.3379223
285. A Temporal-Reliable Method for Change Detection in High-Resolution Bi-Temporal Remote Sensing Images F. Pan et al. 10.3390/rs14133100
286. A Multiscale Cascaded Cross-Attention Hierarchical Network for Change Detection on Bitemporal Remote Sensing Images X. Zhang et al. 10.1109/TGRS.2024.3361847
287. CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding D. Muhtar et al. 10.1109/TGRS.2023.3268232
288. Edge-Guided Parallel Network for VHR Remote Sensing Image Change Detection Y. Zhu et al. 10.1109/JSTARS.2023.3306274
289. Lightweight Structure-Aware Transformer Network for Remote Sensing Image Change Detection T. Lei et al. 10.1109/LGRS.2023.3323534
290. Iterative Mamba Diffusion Change-Detection Model for Remote Sensing F. Liu et al. 10.3390/rs16193651
291. DED-SAM:Adapting Segment Anything Model 2 for Dual Encoder–Decoder Change Detection J. Qiu et al. 10.1109/JSTARS.2024.3490754
292. AMCA: Attention-Guided Multiscale Context Aggregation Network for Remote Sensing Image Change Detection X. Xu et al. 10.1109/TGRS.2023.3272006
293. MDENet: Multidomain Differential Excavating Network for Remote Sensing Image Change Detection J. Liu et al. 10.1109/TGRS.2024.3413677
294. Using Adversarial Network for Multiple Change Detection in Bitemporal Remote Sensing Imagery W. Zhao et al. 10.1109/LGRS.2020.3035780
295. Dual-Branch Seasonal Error Elimination Change Detection Framework Using Target Image Feature Fusion Generator H. Zhu et al. 10.3390/rs17030523
296. MRA-SNet: Siamese Networks of Multiscale Residual and Attention for Change Detection in High-Resolution Remote Sensing Images X. Yang et al. 10.3390/rs13224528
297. HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation C. Pang et al. 10.1109/TGRS.2024.3367778
298. A Full-Scale Feature Fusion Siamese Network for Remote Sensing Change Detection H. Zhou et al. 10.3390/electronics12010035
299. Difference Enhancement and Spatial–Spectral Nonlocal Network for Change Detection in VHR Remote Sensing Images T. Lei et al. 10.1109/TGRS.2021.3134691
300. Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images M. Lin et al. 10.1109/TIP.2022.3226418
301. Multiscale Fusion CNN-Transformer Network for High-Resolution Remote Sensing Image Change Detection M. Jiang et al. 10.1109/JSTARS.2024.3361507
302. Globally-Aware Continuous-Time Redistribution Learning for RS Image Change Detection X. Zhang et al. 10.1109/TGRS.2024.3454055
303. Spatially and Semantically Enhanced Siamese Network for Semantic Change Detection in High-Resolution Remote Sensing Images M. Zhao et al. 10.1109/JSTARS.2022.3159528
304. A hybrid U‐shaped and transformer network for change detection in high‐resolution remote sensing images H. Wu et al. 10.1049/ipr2.13037
305. Bilevel Thresholding–Based Iterative Analysis for Building-Surface Damage Detection in a Postearthquake Environment M. Areti & Z. Hasnain 10.1061/(ASCE)CP.1943-5487.0001036
306. Prototype Discriminative Learning for Semi-Supervised Change Detection in Remote Sensing Images Z. You et al. 10.1109/TGRS.2024.3491111