WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES

34 citations as recorded by crossref.

1. Land Use and Land Cover Mapping in the Era of Big Data C. Zhang & X. Li 10.3390/land11101692
2. DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin E. Cherif et al. 10.3390/rs14195000
3. Link Aggregation for Skip Connection–Mamba: Remote Sensing Image Segmentation Network Based on Link Aggregation Mamba Q. Zhang et al. 10.3390/rs16193622
4. SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal P. Ebel et al. 10.1109/TGRS.2022.3146246
5. CloudTran++: Improved Cloud Removal from Multi-Temporal Satellite Images Using Axial Transformer Networks D. Christopoulos et al. 10.3390/rs17010086
6. Assessing the Relationship between Land Surface Temperature and Composition Elements of Urban Green Spaces during Heat Waves Episodes in Mediterranean Cities M. Delgado-Capel et al. 10.3390/f15030463
7. Self-Supervised SAR-Optical Data Fusion of Sentinel-1/-2 Images Y. Chen & L. Bruzzone 10.1109/TGRS.2021.3128072
8. An Alternating Guidance With Cross-View Teacher–Student Framework for Remote Sensing Semi-Supervised Semantic Segmentation Y. Fu et al. 10.1109/TGRS.2025.3529129
9. Improving 3-m Resolution Land Cover Mapping through Efficient Learning from an Imperfect 10-m Resolution Map R. Dong et al. 10.3390/rs12091418
10. A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision N. Manakitsa et al. 10.3390/technologies12020015
11. Weakly Supervised Remote Sensing Image Semantic Segmentation With Pseudo-Label Noise Suppression X. Lu et al. 10.1109/TGRS.2024.3421890
12. Vision transformer-based feature harmonization network for fine-resolution land cover mapping B. Mwubahimana et al. 10.1080/01431161.2025.2491816
13. One Model Is Enough: Toward Multiclass Weakly Supervised Remote Sensing Image Semantic Segmentation Z. Li et al. 10.1109/TGRS.2023.3290242
14. How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case A. Malczewska & M. Wielgosz 10.1109/JSTARS.2023.3328997
15. A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks S. Illarionova et al. 10.3390/rs14225861
16. Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest C. Robinson et al. 10.1109/JSTARS.2021.3063849
17. Superpixel Consistency Saliency Map Generation for Weakly Supervised Semantic Segmentation of Remote Sensing Images X. Zeng et al. 10.1109/TGRS.2023.3264232
18. A Weakly Supervised Semantic Segmentation Framework for Medium-Resolution Forest Classification With Noisy Labels and GF-1 WFV Images X. Peng et al. 10.1109/TGRS.2024.3404953
19. The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity Y. Ma et al. 10.1109/JSTARS.2021.3130446
20. Large-Scale Land Cover Mapping Framework Based on Prior Product Label Generation: A Case Study of Cambodia H. Zhu et al. 10.3390/rs16132443
21. Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data G. Baier et al. 10.1109/TGRS.2021.3068532
22. A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability and Transferability R. Qin & T. Liu 10.3390/rs14030646
23. High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels X. Qi et al. 10.1109/JSTARS.2023.3342994
24. Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey A. Yu et al. 10.3390/rs15204987
25. Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications T. Hoeser et al. 10.3390/rs12183053
26. AgMTR: Agent Mining Transformer for Few-Shot Segmentation in Remote Sensing H. Bi et al. 10.1007/s11263-024-02252-y
27. Difference-Complementary Learning and Label Reassignment for Multimodal Semi-Supervised Semantic Segmentation of Remote Sensing Images W. Han et al. 10.1109/TIP.2025.3526064
28. High-Resolution Land Cover Mapping Through Learning With Noise Correction R. Dong et al. 10.1109/TGRS.2021.3068280
29. A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images Y. Cheng et al. 10.1016/j.jag.2023.103499
30. BGFNet: Semantic Segmentation Network Based on Boundary Guidance X. Sun et al. 10.1109/LGRS.2023.3333017
31. Clean Collector Algorithm for Satellite Image Pre-Processing of SAR-to-EO Translation M. Kim et al. 10.3390/electronics13224529
32. Index Your Position: A Novel Self-Supervised Learning Method for Remote Sensing Images Semantic Segmentation D. Muhtar et al. 10.1109/TGRS.2022.3177770
33. On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery Z. Li et al. 10.1109/JSTARS.2021.3063788
34. Weakly Supervised Segmentation of Buildings in Digital Elevation Models A. Soliman et al. 10.1109/LGRS.2022.3177160