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ISPRS Journal of Photogrammetry and Remote Sensing Volume 179 September 2021
1. Target-based automated matching of multiple terrestrial laser scans for complex forest scenes p. 1-13
2. A deep translation (GAN) based change detection network for optical and SAR remote sensing images p. 14-34
3. Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data p. 35-49
4. Urban scene understanding based on semantic and socioeconomic features: From high-resolution remote sensing imagery to multi-source geographic datasets p. 50-65
5. High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China p. 66-80
6. Live fuel moisture content estimation from MODIS: A deep learning approach p. 81-91
7. Iterative near-infrared atmospheric correction scheme for global coastal waters p. 92-107
8. SUM: A benchmark dataset of Semantic Urban Meshes p. 108-120
9. Mapping salt marsh along coastal South Carolina using U-Net p. 121-132
10. Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits p. 133-144
11. Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification p. 145-158
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