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Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model
2021
ISPRS journal of photogrammetry and remote sensing (Print)
A B S T R A C T As remote sensing (RS) data obtained from different sensors become available largely and openly, multimodal data processing and analysis techniques have been garnering increasing interest in the RS and geoscience community. However, due to the gap between different modalities in terms of imaging sensors, resolutions, and contents, embedding their complementary information into a consistent, compact, accurate, and discriminative representation, to a great extent, remains
doi:10.1016/j.isprsjprs.2021.05.011
fatcat:zx4qrfd5c5gh3odgah5mmatqua