elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Estimation of the Number of Endmembers Using Robust Outlier Detection Method

Andreou, Charoula and Karathanassi, Vassilia (2014) Estimation of the Number of Endmembers Using Robust Outlier Detection Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (1), pp. 247-256. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2013.2260135 ISSN 1939-1404

[img] PDF
2MB

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6516100

Abstract

This paper introduces a novel approach for estimating the numbers of endmembers in hyperspectral imagery. It exploits the geometrical properties of the noise hypersphere and considers the signal as outlier of the noise hypersphere. The proposed method, called outlier detection method (ODM), is automatic and non-parametric. In a principal component space, noise is spherically symmetric in all directions and lies on the surface of a hypersphere with a constant radius. Reversely, signal radiuses are much larger that noise radius and vary in all directions, thus signal lies in a hyperellipsoid. The proposed method involves three steps: 1) noise estimation; 2) minimum noise fraction transformation; and 3) outlier detection using inter quartile range. Estimation of the number of endmembers is accomplished by the estimation of the number of noise hypersphere outliers using a robust outlier detection method. The ODM was evaluated using simulated and real hyperspectral data, and it was also compared with well-known methods for estimating the number of endmembers. Evaluation of the method showed that the method produces robust and satisfactory results, and outperforms in relation to its competitors.

Item URL in elib:https://elib.dlr.de/91822/
Document Type:Article
Title:Estimation of the Number of Endmembers Using Robust Outlier Detection Method
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Andreou, Charoulacharoula.andreou (at) dlr.deUNSPECIFIED
Karathanassi, Vassiliakarathan (at) survey.ntua.grUNSPECIFIED
Date:January 2014
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:7
DOI :10.1109/JSTARS.2013.2260135
Page Range:pp. 247-256
Editors:
EditorsEmail
Chanussot, Jocelynjocelyn.chanussot@gipsa-lab.grenoble-inp.fr
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Hyperspectral imagery, outlier detection method (ODM), signal processing, signal subspace
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:11 Nov 2014 13:48
Last Modified:31 Jul 2019 19:49

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.