Using spectral Geodesic and spatial Euclidean weights of neighbourhood pixels for hyperspectral Endmember Extraction preprocessing

Spectral Mixture Analysis is one of the fundamental subjects encountered when dealing with remotely sensed hyperspectral images. Its goal is to identify constituent elements of mixed-pixels called Endmembers (EMs) and their associated abundance maps. In this paper, a novel Geodesic and Euclidean dis...

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Bibliographic Details
Published in:	ISPRS journal of photogrammetry and remote sensing Vol. 158; pp. 201 - 218
Main Authors:	Kowkabi, Fatemeh, Keshavarz, Ahmad
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2019
Subjects:	algorithms Endmember Extraction (EE) Geodesic and Euclidean distances-based preprocessing (GEPP) Hyperspectral hyperspectral imagery probabilistic models processing time remote sensing Spatial Spectral Unmixing Spectral Geodesic and Euclidean distances-based preprocessing (GEPP) Spatial Endmember Extraction (EE) Hyperspectral Unmixing
ISSN:	0924-2716, 1872-8235
Online Access:	Get full text
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