Sep 30, 2021 · In this article, a wavelet-based energy minimization framework is developed for joint estimation of endmembers and abundances without assuming pure pixels.
Cite as: Vijayashekhar S S , Jignesh Bhatt . A blind spectral unmixing in wavelet domain. TechRxiv. January 16, 2021. DOI: 10.36227/ ...
A novel blind hyperspectral unmixing method is developed by proposing a compact LMM in the sparse wavelet space (data term) along with total of three.
PDF | In this paper, a wavelet-based energy minimization framework is developed for joint estimation of endmembers and abundances without assuming pure.
In this paper, a novel blind hyperspectral unmixing method is developed for joint estimation of endmembers and abund- ances by proposing a compact LMM in the ...
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Sep 30, 2021 · In this article, a wavelet-based energy minimization framework is developed for joint estimation of endmembers and abundances without ...
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Co-authors ; A blind spectral unmixing in wavelet domain. SS Vijayashekhar, JS Bhatt. IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, ...
These methods, also known as blind spectral unmixing (BSU) methods, include independent component analysis [37], [38], [39], non-negative matrix factorization [ ...
In this paper, a new blind spectral unmixing method based on sparse component analysis (BSUSCA) is proposed to solve the problem of highly mixed data.