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- W3136189581 abstract "With the development of remote sensing techniques, the fusion of multimodal data, particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR, has become an important research field in numerous application areas. Multispectral, HS, LiDAR, and Synthetic Aperture Radar (SAR) images contain detailed information about the monitored surface that are complementary to each other. Thus, data fusion methods have become a promising solution to obtain high spatial resolution remote-sensing images. The main point of this review paper is to classify hyperspectral-LiDAR and hyperspectral-SAR data fusion with approaches. Moreover, recent achievements in the fusion of hyperspectral-LiDAR and hyperspectral-SAR data are highlighted in terms of faced challenges and applications. Most frequently used data fusion datasets that include IEEE GRSS Data Fusion Contests are also described." @default.
- W3136189581 created "2021-03-29" @default.
- W3136189581 creator A5051243412 @default.
- W3136189581 creator A5053605126 @default.
- W3136189581 date "2021-01-01" @default.
- W3136189581 modified "2023-09-30" @default.
- W3136189581 title "A comprehensive review of hyperspectral data fusion with lidar and sar data" @default.
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- W3136189581 doi "https://doi.org/10.1016/j.arcontrol.2021.03.003" @default.
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