Entropy-Based Convex Set Optimization for Spatial–Spectral Endmember Extraction From Hyperspectral Images

Spectral unmixing is an important problem for remotely sensed hyperspectral data exploitation. Automatic spectral unmixing can be viewed as a three-stage problem, where the first stage is subspace identification, the next one is endmember extraction, and the final one is abundance estimation. In thi...

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Váldodahkkit: Dharambhai Shah, Tanish Zaveri, Yogesh N. Trivedi, Antonio Plaza
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: IEEE 2020-01-01
Ráidu:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Liŋkkat:https://ieeexplore.ieee.org/document/9140306/