Publication
Title
Geometric matched filter for hyperspectral partial unmixing
Author
Abstract
In this paper, a new geometric matched filter is presented by combining the standard matched filtering with concepts of convex geometry. The purpose of the method is partial un- mixing of a hyperspectral image, where an estimate is given for the relative contribution of each pixel to a specific target spectrum. In standard matched filtering, the filter is designed based on the background statistics of the entire image, which works fine when the target is contained in a limited number of pixels, but fails when the target is abundantly present through- out the whole image. The presented method calculates the fil- ter based on the statistics of pixels that do not contain the tar- get spectrum. These background pixels are identified based on the simplex formed by the target and other relevant end- members of the dataset. In the experiments, the presented method is shown to outperform standard matched filtering for partial unmixing.
Language
English
Source (book)
IEEE-Whispers 2014 : Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, June 24-27, 2014
Publication
S.l. : IEEE, 2014
Volume/pages
p. 1-4
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identification
Creation 16.02.2015
Last edited 17.02.2015
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