Abstract
Hyperspectral imaging (HSI) data in the 0.4 -2.5 micrometer (VNIR/SWIR) spectral range allow direct identification of minerals using their fully resolved spectral signatures, however, spatial coverage is limited. Multispectral Imaging data (MSI) (e.g. data from the Advanced Spaceborne Emission and Reflection Radiometer, ASTER) are spectrally undersampled and may not allow unique identification, but they do provide synoptic spatial coverage. Combining the two data types by modeling hyperspectral signatures to ASTER band passes allows extending HSI mapping results to regional scales and leads to improved mineral mapping over larger areas.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
