RSCNet adaptively selects task-relevant hyperspectral bands under cross-source guidance and performs attention-based fusion to achieve higher accuracy and lower complexity than prior multi-source remote sensing classifiers on three benchmarks.
Coarse-to- fine high-order network for hyperspectral and lidar classification,
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Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification
RSCNet adaptively selects task-relevant hyperspectral bands under cross-source guidance and performs attention-based fusion to achieve higher accuracy and lower complexity than prior multi-source remote sensing classifiers on three benchmarks.