Stepwise simplex projection method for selection of endmembers in hyperspectral images

Show full item record

Title: Stepwise simplex projection method for selection of endmembers in hyperspectral images
Author: Bajorski, Peter
Abstract: In previous research, we introduced a family of simplex projection methods for selection of endmembers in hyperspectral images. In this paper, we define a new member of that family, which we call the Stepwise Simplex Projection (SSP) method. This new method adds and eliminates endmembers based on their distances to simplexes defined by previously chosen endmembers. We compare the SSP method to a previously defined simplex projection method (called the Farthest Pixel Selection method) and to some other methods such as the Pixel Purity Index and Maximum Distance methods. To this end, we introduce several summary measures to describe how well a set of endmembers characterizes the image spectra. We also investigate how well the resulting sets of endmembers perform in subpixel target detection. The numerical results are based on AVIRIS hyperspectral imagery. The SSP method proves to be the most consistently well performing among the investigated methods.
Description: RIT community members may access full-text via RIT Libraries licensed databases: http://library.rit.edu/databases/
Record URI: http://hdl.handle.net/1850/9102
Publishers URL: http://dx.doi.org/10.1117/12.603433
Date: 2005-03

Files in this item

Files Size Format View

An open access version of this file is not available. Check "Publisher URL" field for access

This item appears in the following Collection(s)

Show full item record

Search RIT DML


Advanced Search

Browse