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Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples.

, , , , , and . Remote. Sens., 15 (4): 1080 (February 2023)

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Hyperspectral Meets Optical Flow: Spectral Flow Extraction for Hyperspectral Image Classification., , , , and . IEEE Trans. Image Process., (2023)Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps., , , , , and . CoRR, (2023)Multiscale Deep Learning Network With Self-Calibrated Convolution for Hyperspectral and LiDAR Data Collaborative Classification., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios., , , , , and . CoRR, (2023)Depth Feature Fusion Network for Building Extraction in Remote Sensing Images., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)DEM super-resolution guided by shaded relief using attention-based fusion., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2024)Self-Supervised Feature Learning and Few-Shot Land Cover Classification for Cross-Modal Remote Sensing Images., , , , , and . IGARSS, page 3600-3603. IEEE, (2022)Leveraging Deep Convolutional Neural Network for Point Symbol Recognition in Scanned Topographic Maps., , , , , , and . ISPRS Int. J. Geo Inf., 12 (3): 128 (2023)Multimodal self-supervised learning for remote sensing data land cover classification., , , , , , and . Pattern Recognit., (2025)Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images., , , , , and . Remote. Sens., 15 (13): 3398 (July 2023)