Nonnegative CP decomposition of multiangle hyperspectral data: a case study on CRISM observations of martian icy surface

Abstract : The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) sensor aboard the Mars Reconnaissance Orbiter takes hyperspectral multi-angle acquisitions of Martian surface from the top of the atmosphere (TOA) on visible and infrared wavelengths. The Multiangle Approach for Retrieval of Surface Reflectance from CRISM Observations (MARS-ReCO) defined an innovative TOA radiance model and inversion scheme aimed at correcting for aerosols effects taking advantage of the near-simultaneous multi-angle CRISM observations. Here, we aim to provide validation evidence of MARS-ReCO by unmixing the estimated multi-angle bidi-rectional reflectance (BRF) from highly reflective and anisotropic icy surfaces at high latitudes with grazing illumination, using a non-negative CP decomposition. Obtained results are in accordance with other complementary studies, which compose a collaboration effort to validate MARS-ReCO through the cross-validation of different techniques in the absence of ground truth.
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Communication dans un congrès
8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2016), Aug 2016, Los Angeles, CA, United States
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Contributeur : Miguel Angel Veganzones <>
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  • HAL Id : hal-01382360, version 1

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Miguel Angel Veganzones, Sylvain Douté, Jérémy E. Cohen, Rodrigo Cabral Farias, Jocelyn Chanussot, et al.. Nonnegative CP decomposition of multiangle hyperspectral data: a case study on CRISM observations of martian icy surface. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2016), Aug 2016, Los Angeles, CA, United States. 〈hal-01382360〉

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