CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

398 citations as recorded by crossref.

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199. Semi-Supervised Change Detection With Fourier-Based Frequency Transformation Z. Zhang et al.
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268. HASNet: A Foreground Association-Driven Siamese Network With Hard Sample Optimization for Remote Sensing Image Change Detection C. Tao et al.
269. GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature-Guided DDPM Y. Wen et al.
270. Change Detection for High-Resolution Remote Sensing Images Based on a Multi-Scale Attention Siamese Network J. Li et al.
271. Domain Adaptive and Interactive Differential Attention Network for Remote Sensing Image Change Detection Y. Ji et al.
272. Exploring Image Generation for UAV Change Detection X. Li et al.
273. A Transformer-Based Multiscale Difference Enhancement Network for Change Detection M. Pan et al.
274. DCFF-Net: A Densely Connected Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images F. Pan et al.
275. Advances and Challenges in Deep Learning-Based Change Detection for Remote Sensing Images: A Review through Various Learning Paradigms L. Wang et al.
276. Learning Token-Aligned Representations With Multimodel Transformers for Different-Resolution Change Detection M. Liu et al.
277. Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions M. Liu et al.
278. LGMM-Net: A Local–Global Encoder and Mask Mamba Decoder Network for Remote Sensing Change Detection C. Fang et al.
279. VisionTwinNet: Gated Clarity Enhancement Paired With Light-Robust CD Transformers T. Chen & A. Chen
280. 3DGS-CD: 3D Gaussian Splatting-Based Change Detection for Physical Object Rearrangement Z. Lu et al.
281. MDFANet: Multidimensional Feature Alignment Network for Self-Supervised Pretraining in Remote Sensing Change Detection L. Wang et al.
282. A communication-efficient distributed deep learning remote sensing image change detection framework H. Cheng et al.
283. MAMI-CD: Multistage Attention Network for Change Detection With Mixed Feature Interaction M. Han et al.
284. Dual-Granularity Feature Alignment for Change Detection in Remote Sensing Images F. Zhou et al.
285. Remote sensing image change detection using deep learning techniques: a comprehensive survey T. Lei et al.
286. Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks P. de Bem et al.
287. WNet: W-Shaped Hierarchical Network for Remote-Sensing Image Change Detection X. Tang et al.
288. Change Detection Meets Frequency Learning: A Coarse-to-Fine Dual-Domain Detection Network W. Zhang et al.
289. TCIANet: Transformer-Based Context Information Aggregation Network for Remote Sensing Image Change Detection X. Xu et al.
290. Joint Self-Training and Rebalanced Consistency Learning for Semi-Supervised Change Detection X. Zhang et al.
291. An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing images Y. Sun et al.
292. DTT-CGINet: A Dual Temporal Transformer Network with Multi-Scale Contour-Guided Graph Interaction for Change Detection M. Chen et al.
293. MGC: MLP-Guided CNN Pretraining Using a Small-Scale Dataset for Remote Sensing Images Z. Li et al.
294. Learning Remote Sensing Aleatoric Uncertainty for Semi-Supervised Change Detection J. Shen et al.
295. MixCDNet: A Lightweight Change Detection Network Mixing Features Across CNN and Transformer L. Wang et al.
296. Change-Guided Difference Interaction Attention Network for Remote Sensing Change Detection C. Hu et al.
297. DFSMCG-Net: A Siamese change detection network based on Differential Feature Selection and Multi-Scale Guidance Strategies H. Xue et al.
298. Remote Sensing Image Change Detection With Transformers H. Chen et al.
299. DIAFNet: A Dynamic Interactive Adaptive Fusion Network Based on Enhanced Differential Features R. Zhao et al.
300. SIAM-CDNET: A Remote Sensing Image Change Detection Network for Optimized Edge Detection and Mitigation of Pseudo Changes Y. Zhang & W. Xue
301. CANet: A Combined Attention Network for Remote Sensing Image Change Detection D. Lu et al.
302. xLSTM Interaction Multilevel SSM-Assisted Decoding Network for Remote Sensing Image Change Detection C. Wu et al.
303. Cross-Visual Style Change Detection for Remote Sensing Images via Representation Consistency Deep Supervised Learning J. Wei et al.
304. A Review of Deep-Learning Methods for Change Detection in Multispectral Remote Sensing Images E. Parelius
305. Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative Study V. Kristollari & V. Karathanassi
306. AERNet: An Attention-Guided Edge Refinement Network and a Dataset for Remote Sensing Building Change Detection J. Zhang et al.
307. ROFANet: Residual Offset-Driven Feature Alignment Network for Unaligned Remote Sensing Image Change Detection G. Wang et al.
308. SAAN: Similarity-Aware Attention Flow Network for Change Detection With VHR Remote Sensing Images H. Guo et al.
309. Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images H. Lee et al.
310. MDFA-Net: Multi-Scale Differential Feature Self-Attention Network for Building Change Detection in Remote Sensing Images Y. Li et al.
311. Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images H. Chen et al.
312. EUNet-CD: Efficient UNet++ for Change Detection of Very High-Resolution Remote Sensing Images A. Raza et al.
313. AM-CD: Joint attention and Mamba for remote sensing image change detection Y. Guo et al.
314. BASNet: A Boundary-Aware Siamese Network for Accurate Remote-Sensing Change Detection H. Wei et al.
315. Analysis and Verification of Building Changes Based on Point Clouds from Different Sources and Time Periods U. Marmol & N. Borowiec
316. Change detection of multisource remote sensing images: a review W. Jiang et al.
317. Network and Dataset for Multiscale Remote Sensing Image Change Detection S. Liu et al.
318. DCAT: Dual Cross-Attention-Based Transformer for Change Detection Y. Zhou et al.
319. TDNet: Bidirectional LSTM Gated Triple-Decoder Network for Remote Sensing Change Detection C. Zhang et al.
320. EfficientViM-CD: An Efficient Remote Sensing Change Detection Network Based on Hidden-State-Mixer H. Fan et al.
321. Remote Sensing Spatiotemporal Vision–Language Models: A comprehensive survey C. Liu et al.
322. Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey L. Jiao et al.
323. Remote Sensing Image Change Detection Based on Lightweight Transformer and Multiscale Feature Fusion J. Li et al.
324. HDFNet: Hierarchical Dynamic Fusion Network for Change Detection in Optical Aerial Images Y. Zhang et al.
325. JL1-CD: A New Benchmark and a Robust Multiteacher Knowledge Distillation Framework for Remote Sensing Change Detection Z. Liu et al.
326. ViTs-based Dual Metric Deep Learning Technique for change detection from high-resolution satellite images Y. Afaq & N. Koufi
327. Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection W. Zhao et al.
328. CSDACD: Domain-Adaptive Change Detection Network for Cross-Seasonal Remote Sensing Images Y. Huang & P. Zhang
329. MATNet: Multilevel attention-based transformers for change detection in remote sensing images Z. Zhang et al.
330. A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images H. Jiang et al.
331. A Combined Loss-Based Multiscale Fully Convolutional Network for High-Resolution Remote Sensing Image Change Detection X. Li et al.
332. Developing approaches in building classification and extraction with synergy of YOLOV8 and SAM models A. Khatua et al.
333. HMCNet: Hybrid Efficient Remote Sensing Images Change Detection Network Based on Cross-Axis Attention MLP and CNN L. Wang & H. Li
334. Cross attention is all you need: relational remote sensing change detection with transformer K. Lu et al.
335. Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya R. Shults et al.
336. Exploring the Cross-Temporal Interaction: Feature Exchange and Enhancement for Remote Sensing Change Detection Y. Liu et al.
337. DifUnet++: A Satellite Images Change Detection Network Based on Unet++ and Differential Pyramid X. Zhang et al.
338. A Deeply Supervised Attentive High-Resolution Network for Change Detection in Remote Sensing Images J. Wu et al.
339. ECPS: Cross Pseudo Supervision Based on Ensemble Learning for Semi-Supervised Remote Sensing Change Detection Y. Yang et al.
340. A hybrid CNN-transformer network with difference enhancement and frequency fusion for remote sensing image change detection M. Wang et al.
341. MFATNet: Multi-Scale Feature Aggregation via Transformer for Remote Sensing Image Change Detection Z. Mao et al.
342. D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection L. Wan et al.
343. StyleFormer: Spatial–Temporal Style Projecting Bidirectional Interactive Transformer for Change Detection Q. Han et al.
344. CSA-CDGAN: channel self-attention-based generative adversarial network for change detection of remote sensing images Z. Wang et al.
345. MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images W. Ren et al.
346. Content-Invariant Dual Learning for Change Detection in Remote Sensing Images B. Fang et al.
347. Remote Sensing Image Change Detection Based on Deep Multi-Scale Multi-Attention Siamese Transformer Network M. Zhang et al.
348. MFNet: Mutual Feature-Aware Networks for Remote Sensing Change Detection Q. Zhang et al.
349. Laplacian Pyramid Network With Hybrid Encoder and Edge Guidance for Remote Sensing Change Detection W. Yan et al.
350. A Deep Supervised Change Detection Network Based on Context-Rich Information Y. Zhang et al.
351. Difference Enhancement and Interscale Interactive Fusion Mamba for Remote Sensing Image Change Detection W. Sun et al.
352. A practically feasible transfer learning method for deep-temporal urban change monitoring G. Zitzlsberger et al.
353. 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
354. DSQNet: Enhancing Change Detection Network via Deep Semantics Query for Remote Sensing Images Z. Qin & L. Zhang
355. ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images H. Zhang et al.
356. A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection R. Zhou et al.
357. Remote Sensing Change Detection With Transformers Trained From Scratch M. Noman et al.
358. ConvTransNet: A CNN–Transformer Network for Change Detection With Multiscale Global–Local Representations W. Li et al.
359. SAM-Driven Consistency Regulation for Semi-Supervised Remote Sensing Change Detection L. Lv et al.
360. SCEDNet: A Style Consistency Enhanced Differential Network for Remote Sensing Image Change Detection Z. Yang et al.
361. An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection K. Song et al.
362. An Object Fine-Grained Change Detection Method Based on Frequency Decoupling Interaction for High-Resolution Remote Sensing Images Y. Tang et al.
363. Beyond Cross-Temporal Difference: Style-Aligned and Fusion-Difference Learning for Change Detection S. Fu et al.
364. Self-Attention and Convolution Fusion Network for Land Cover Change Detection over a New Data Set in Wenzhou, China Y. Zhu et al.
365. Uncertainty-Aware Noisy Label Learning for Remote Sensing Change Detection B. Yang et al.
366. Joint Frequency-Spatial Domain Network for Remote Sensing Optical Image Change Detection Y. Zhou et al.
367. Toward Label‐Efficient Deep Learning Change Detection for Remote Sensing Imagery: A Comprehensive Review D. Peng et al.
368. Remote Sensing Image Change Detection Network Based on Twin High-Resolution Representation X. Wu et al.
369. Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network D. Zheng et al.
370. LCDNet: Lightweight Change Detection Network With Dual-Attention Guidance and Multiscale Feature Fusion for Remote-Sensing Images J. Li et al.
371. Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges W. Shi et al.
372. HFNet: Semantic and Differential Heterogenous Fusion Network for Remote Sensing Image Change Detection Y. Han et al.
373. Change Detection Mamba With Boundary-Specific Supervision G. Wang et al.
374. Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping S. Shi et al.
375. End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++ D. Peng et al.
376. MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection K. Jiang et al.
377. CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection L. Wan et al.
378. MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining D. Wang et al.
379. A Novel Remote Sensing Image Change Detection Approach Based on Multilevel State Space Model Z. Zhang et al.
380. ForkNet: Strong Semantic Feature Representation and Subregion Supervision for Accurate Remote Sensing Change Detection H. He et al.
381. RISNet: Robust Ill-Posed Solver for Remote Sensing Image Change Detection Y. Chong et al.
382. SChanger: Change Detection From a Semantic Change and Spatial Consistency Perspective Z. Zhou et al.
383. Robust Instance-Based Semi-Supervised Learning Change Detection for Remote Sensing Images Y. Zuo et al.
384. CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding D. Muhtar et al.
385. Edge-Guided Parallel Network for VHR Remote Sensing Image Change Detection Y. Zhu et al.
386. MDENet: Multidomain Differential Excavating Network for Remote Sensing Image Change Detection J. Liu et al.
387. SPRMamba: A Mamba-Based Saliency Proportion Reconciliatory Network With Squeezed Windows for Remote Sensing Change Detection S. Zhou et al.
388. Using Adversarial Network for Multiple Change Detection in Bitemporal Remote Sensing Imagery W. Zhao et al.
389. MRA-SNet: Siamese Networks of Multiscale Residual and Attention for Change Detection in High-Resolution Remote Sensing Images X. Yang et al.
390. HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation C. Pang et al.
391. A Full-Scale Feature Fusion Siamese Network for Remote Sensing Change Detection H. Zhou et al.
392. Multiscale Fusion CNN-Transformer Network for High-Resolution Remote Sensing Image Change Detection M. Jiang et al.
393. Spatially and Semantically Enhanced Siamese Network for Semantic Change Detection in High-Resolution Remote Sensing Images M. Zhao et al.
394. ST-Mamba: Spatio-Temporal Synergistic Model for Remote Sensing Change Detection J. Zhao et al.
395. Bilevel Thresholding–Based Iterative Analysis for Building-Surface Damage Detection in a Postearthquake Environment M. Areti & Z. Hasnain
396. Prototype Discriminative Learning for Semi-Supervised Change Detection in Remote Sensing Images Z. You et al.
397. CFMNet: A Change-Similarity Feature Mixing Network for Remote Sensing Change Detection C. Zhang et al.
398. Mamba-MSCCA-Net: Efficient change detection for remote sensing images Z. Song et al.