On endmember identification in hyperspectral images without pure pixels: a comparison of algorithms
type: Item
instance of: scholarly article
title: On endmember identification in hyperspectral images without pure pixels: a comparison of algorithms
zbMATH Open document ID: 1255.68263
author: Javier Plaza
author: Gabriel Martín
author: Antonio Plaza
author: E. M. T. Hendrix
author: I. García
published in: Journal of Mathematical Imaging and Vision
publication date: 2013-01-22T00:00:00Z
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 68W05
zbMATH DE Number: 6128006
zbMATH Keywords: hyperspectral imaging
zbMATH Keywords: endmember extraction
zbMATH Keywords: spectral unmixing
zbMATH Keywords: minimum enclosing simplex
describes a project that uses: AS 136
MaRDI profile type: Publication
full work available at URL: s10851-011-0276-0
OpenAlex ID: W2099703033
cites work: A lattice matrix method for hyperspectral image unmixing
cites work: On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images
cites work: A Convex Analysis-Based Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing
cites work: Algorithm AS 136: A K-Means Clustering Algorithm
DOI: 10.1007/S10851-011-0276-0
description: scientific article; zbMATH DE number 6128006