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pro vyhledávání: '"Vijayashekhar S S"'
Autor:
Vijayashekhar S S, Jignesh S. Bhatt
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10287-10302 (2021)
In this article, a wavelet-based energy minimization framework is developed for joint estimation of endmembers and abundances without assuming pure pixels while considering noisy scenario. Spectrally dense and overlapped hyperspectral data are repres
Externí odkaz:
https://doaj.org/article/b9547f8a51014bb6a21df3c540a42813
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2974-2985 (2020)
Estimating the number of materials present in a scene is the fundamental step in many hyperspectral remote sensing applications. The virtual dimensionality (VD) estimates the number of spectrally distinct materials in the hyperspectral data. The VD i
Externí odkaz:
https://doaj.org/article/e40d32a0500f428ebf0c0c4b264882bb
Akademický článek
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Autor:
Jignesh Bhatt, Vijayashekhar S S
Hyperspectral data - Systems, Processing, Information extraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b11f7b31a4fa7ea496aaeb24cdc84fb
https://doi.org/10.36227/techrxiv.13559795
https://doi.org/10.36227/techrxiv.13559795
Autor:
Vijayashekhar S S, Jignesh S. Bhatt
Publikováno v:
IGARSS
In this paper, we propose a novel algorithmic approach to estimate abundances given the endmembers of hyperspectral imagery. The problem is ill-posed mainly because of the highly correlated signatures and noise in the data. To this end, we observe th
Publikováno v:
International Journal of Computer Applications. 91:27-31