Robust Endmember Extraction in the Presence of Anomalies
Endmember extraction is usually based on the solution of a system of linear equations that allows the identification of some basic spectra in terms of which the observed mixed spectra may be expressed as linear combinations. In this paper, we propose to close the loop of such an approach by identify...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2011-06, Vol.49 (6), p.1986-1996 |
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container_end_page | 1996 |
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container_issue | 6 |
container_start_page | 1986 |
container_title | IEEE transactions on geoscience and remote sensing |
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creator | Duran, Olga Petrou, M |
description | Endmember extraction is usually based on the solution of a system of linear equations that allows the identification of some basic spectra in terms of which the observed mixed spectra may be expressed as linear combinations. In this paper, we propose to close the loop of such an approach by identifying only the basic spectra that reproduce the dominant cover classes of a region as endmembers, and distinguishing them from outlier spectra present in the scene. The latter are often confused by other methods as endmember spectra, whereas in many practical applications, they are treated as anomalies or targets in the scene. Thus, the proposed method identifies endmembers in a robust way, separating them from outliers. |
doi_str_mv | 10.1109/TGRS.2010.2091136 |
format | Article |
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Thus, the proposed method identifies endmembers in a robust way, separating them from outliers.</description><subject>Applied geophysics</subject><subject>Data mining</subject><subject>Data models</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Endmembers</subject><subject>Equations</subject><subject>Exact sciences and technology</subject><subject>Internal geophysics</subject><subject>Manifolds</subject><subject>Mathematical model</subject><subject>Pixel</subject><subject>robust unmixing</subject><subject>Robustness</subject><subject>spectral unmixing</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j01Lw0AQQBdRsFZ_gHjZi8fUmf1K9lhKrUJBqfUcNrsTjDRJ2Y2g_96Ulp6GYd4beIzdI8wQwT5tV5uPmYBxFWARpblgE9S6yMAodckmgNZkorDimt2k9A2ASmM-YcWmr37SwJddaKmtKPLl7xCdH5q-403Hhy_i75ESdZ54X_N517du11C6ZVe12yW6O80p-3xebhcv2fpt9bqYrzMvrB4yCgiFV4SVCkELK6TEIKxyzgjprHRB57ny1pMkbaTTIZcVhNo4I6Ee6SnD418f-5Qi1eU-Nq2LfyVCeUgvD-nlIb08pY_O49HZu-Tdro6u8006i0IJo5XCkXs4cg0Rnc_a5BJQyH9F42E2</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Duran, Olga</creator><creator>Petrou, M</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20110601</creationdate><title>Robust Endmember Extraction in the Presence of Anomalies</title><author>Duran, Olga ; Petrou, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-ed108c4e1b4dd5292331d294aa623a93ad5774c9ce3e563a5d73b0df6a630f233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied geophysics</topic><topic>Data mining</topic><topic>Data models</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Endmembers</topic><topic>Equations</topic><topic>Exact sciences and technology</topic><topic>Internal geophysics</topic><topic>Manifolds</topic><topic>Mathematical model</topic><topic>Pixel</topic><topic>robust unmixing</topic><topic>Robustness</topic><topic>spectral unmixing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duran, Olga</creatorcontrib><creatorcontrib>Petrou, M</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Duran, Olga</au><au>Petrou, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Endmember Extraction in the Presence of Anomalies</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2011-06-01</date><risdate>2011</risdate><volume>49</volume><issue>6</issue><spage>1986</spage><epage>1996</epage><pages>1986-1996</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>Endmember extraction is usually based on the solution of a system of linear equations that allows the identification of some basic spectra in terms of which the observed mixed spectra may be expressed as linear combinations. In this paper, we propose to close the loop of such an approach by identifying only the basic spectra that reproduce the dominant cover classes of a region as endmembers, and distinguishing them from outlier spectra present in the scene. The latter are often confused by other methods as endmember spectra, whereas in many practical applications, they are treated as anomalies or targets in the scene. Thus, the proposed method identifies endmembers in a robust way, separating them from outliers.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TGRS.2010.2091136</doi><tpages>11</tpages></addata></record> |
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subjects | Applied geophysics Data mining Data models Earth sciences Earth, ocean, space Endmembers Equations Exact sciences and technology Internal geophysics Manifolds Mathematical model Pixel robust unmixing Robustness spectral unmixing |
title | Robust Endmember Extraction in the Presence of Anomalies |
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