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- W4299521626 abstract "This chapter first introduced the multimodal remote sensing data sources, such as high-resolution optical, radar, hyperspectral, and survey satellite remote sensing images (e.g., Landsat, ocean, meteorological, and stereo mapping satellite images), aerial and unmanned aerial vehicles imagery, and light detection and ranging (airborne and ground) data. In special, the data features and application areas of hyperspectral remote sensing (geology, agriculture, atmosphere and the environment, and vegetation) were presented. Then some necessary remote sensing image pre-processing procedures for the mine geo-environment application were described, including ortho rectification, geometric rectification, image fusion, and especially the extraction of digital elevation models from stereo pairs. Finally, the effective fusion methods of multimodal remote sensing data (raw data level, pixel level, and decision level) were concluded and briefly reviewed." @default.
- W4299521626 created "2022-10-02" @default.
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- W4299521626 date "2022-01-01" @default.
- W4299521626 modified "2023-09-23" @default.
- W4299521626 title "Multimodal Remote Sensing Science and Technology" @default.
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- W4299521626 doi "https://doi.org/10.1007/978-981-19-3739-2_2" @default.
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