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http://dx.doi.org/10.7780/kjrs.2013.29.5.8

Applicability Evaluation of Endmember Extraction Algorithms on the AISA Hyperspectral Images  

Song, Ahram (Department of Civil and Environmental Engineering, Seoul National University)
Chang, Anjin (Department of Civil and Environmental Engineering, Seoul National University)
Kim, Yong-Il (Department of Civil and Environmental Engineering, Seoul National University)
Choi, Jaewan (School of Civil Engineering, Chungbuk National University)
Publication Information
Korean Journal of Remote Sensing / v.29, no.5, 2013 , pp. 527-535 More about this Journal
Abstract
Extraction of correct endmembers is prerequisite to successful spectral unmixing analysis. Various endmember extraction algorithms have been proposed and most experiments based on endmember extraction have used synthetic image and AVIRIS image data. However, these data can present different characteristics comparing with hyperspectral images acquired from real domestic environment. For this study, a test-bed was constructed for analysing the difference on diverse substances and sizes in domestic areas, and AISA hyperspectral imagery acquired from the test-bed was tested with two well-known endmember extraction algorithms: IEA, and N-FINDR. The results indicated that two different algorithms depended on the number of endmembers and material types in the test-bed. Therefore, optimized number of endmembers and characteristics of materials in test-bed site should be considered for the effective application of endmember extraction algorithms.
Keywords
Endmember; Spectral Unmixing; IEA; N-FINDR; SID;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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