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Shadow-Aware Nonlinear Spectral Unmixing for Hyperspectral Imagery

In hyperspectral imagery, differences in ground surface structures cause a large variation in the optical scattering in sunlit and (partly) shadowed pixels. The complexity of the scene demands a general spectral mixture model that can adapt to the different scenarios of the ground surface. In this a...

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Principais autores: Guichen Zhang, Paul Scheunders, Daniele Cerra, Rupert Muller
Format: Artigo
Jezik:Inglês
Izdano: IEEE 2022-01-01
Serija:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Teme:
Online dostop:https://ieeexplore.ieee.org/document/9815850/
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