REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET

12 citations as recorded by crossref.

1. There Are No Data Like More Data: Datasets for deep learning in Earth observation M. Schmitt et al. 10.1109/MGRS.2023.3293459
2. Deep Image Prior Amplitude SAR Image Anonymization E. Cannas et al. 10.3390/rs15153750
3. Learning From Self-Supervised Features for Hashing-Based Remote Sensing Image Retrieval J. Tang et al. 10.1109/LGRS.2023.3263498
4. Benchmarking and scaling of deep learning models for land cover image classification I. Papoutsis et al. 10.1016/j.isprsjprs.2022.11.012
5. Land Cover Mapping with Convolutional Neural Networks Using Sentinel-2 Images: Case Study of Rome G. Cecili et al. 10.3390/land12040879
6. Land Consumption Mapping with Convolutional Neural Network: Case Study in Italy G. Cecili et al. 10.3390/land11111919
7. Explaining the Effects of Clouds on Remote Sensing Scene Classification J. Gawlikowski et al. 10.1109/JSTARS.2022.3221788
8. SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal P. Ebel et al. 10.1109/TGRS.2022.3146246
9. 3DMAE: Joint SAR and Optical Representation Learning With Vertical Masking L. Zhang et al. 10.1109/LGRS.2023.3316193
10. Multitarget Domain Adaptation for Remote Sensing Classification Using Graph Neural Network S. Saha et al. 10.1109/LGRS.2022.3149950
11. Multi-Label Remote Sensing Image Land Cover Classification Based on a Multi-Dimensional Attention Mechanism H. You et al. 10.3390/rs15204979
12. Meta-learning to address diverse Earth observation problems across resolutions M. Rußwurm et al. 10.1038/s43247-023-01146-0