EVALUATION OF UNet AND UNet++ ARCHITECTURES IN HIGH RESOLUTION IMAGE CHANGE DETECTION APPLICATIONS

28 citations as recorded by crossref.

1. 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
2. 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
3. Behaviors of first-order optimizers in the context of sparse data and sparse models: A comparative study K. Bouanane et al. 10.1016/j.dsp.2024.104637
4. Breast cancer image analysis utilizing feature fusion-based hybrid classification network influenced by adaptive u-net with generative adversarial segmentation network R. Kalavathi & M. Swamy Das 10.1177/18724981251318190
5. An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes P. Soto Vega et al. 10.1016/j.isprsjprs.2021.08.026
6. Open-pit mine change detection from high resolution remote sensing images using DA-UNet++ and object-based approach S. Du et al. 10.1080/17480930.2022.2072102
7. 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
8. Volumetric defect classification in Nano-resolution X-ray computed tomography images of laser powder bed fusion via deep learning E. Vaghefi et al. 10.1016/j.jmapro.2024.05.030
9. Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust K. Sailunaz et al. 10.1371/journal.pone.0278487
10. Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep Learning J. Xiang et al. 10.3390/rs15030628
11. Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests P. Vega et al. 10.1109/JSTARS.2023.3327573
12. MiM-UNet: An efficient building image segmentation network integrating state space models D. Liu et al. 10.1016/j.aej.2025.02.035
13. Research on Road Extraction From High-Resolution Remote Sensing Images Based on Improved UNet++ K. Li et al. 10.1109/ACCESS.2024.3385540
14. 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
15. Utilizing deep learning towards real-time snow cover detection and energy loss estimation for solar modules M. Araji et al. 10.1016/j.apenergy.2024.124201
16. AETUnet: Enhancing Retinal Segmentation With Parameter-Efficient UNet Architecture and Lightweight Attention Mechanism K. Nazir & Y. Byun 10.1109/ACCESS.2025.3539372
17. Harnessing Time-Series Satellite Data and Deep Learning to Monitor Historical Patterns of Deforestation in Eastern Himalayan Foothills of India J. Bhuyan et al. 10.1007/s12524-025-02137-8
18. SemiSANet: A Semi-Supervised High-Resolution Remote Sensing Image Change Detection Model Using Siamese Networks with Graph Attention C. Sun et al. 10.3390/rs14122801
19. SemiBuildingChange: A Semi-Supervised High-Resolution Remote Sensing Image Building Change Detection Method With a Pseudo Bitemporal Data Generator C. Sun et al. 10.1109/TGRS.2023.3321637
20. Interaction in Transformer for Change Detection in VHR Remote Sensing Images Z. Chen et al. 10.1109/TGRS.2023.3324025
21. Skin Lesion Image Segmentation Algorithm Based on MC-UNet G. Yang & B. Pan 10.1109/ACCESS.2025.3531508
22. A Conditional Generative Adversarial Network for urban area classification using multi-source data A. Sirous et al. 10.1007/s12145-023-01050-3
23. Spatial-Temporal Evolution Guided Change Detection Network for Remote Sensing Images Q. Wang et al. 10.1109/JSTARS.2024.3439510
24. Fast Mapping of Large-Scale Landslides in Sentinel-1 SAR Images Using SPAUNet X. Shi et al. 10.1109/JSTARS.2023.3310153
25. Ultrasound image segmentation of renal tumors based on UNet++ with fusion of multiscale residuals and dual attention H. Qi et al. 10.1088/1361-6560/ad2d7f
26. A Systematic Kidney Tumour Segmentation and Classification Framework Using Adaptive and Attentive-Based Deep Learning Networks With Improved Crayfish Optimization Algorithm V. Vasantbhai Patel et al. 10.1109/ACCESS.2024.3410833
27. Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images Z. Lv et al. 10.1109/TGRS.2022.3197901
28. SNUNet3+: A Full-Scale Connected Siamese Network and a Dataset for Cultivated Land Change Detection in High-Resolution Remote-Sensing Images L. Miao et al. 10.1109/TGRS.2023.3344284