Study on Anomaly Detection Methods in Hyperspectral Image

Hyperspectral remote sensing technology can be used to make a correct spectral diagnosis on substances. So it is widely used in the field of target detection and recognition. However, it is very difficult to gather accurate prior information for target detect since the spectral uncertainty of object...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 631-632; pp. 631 - 635
Main Authors Huang, Shi Qi, Liu, Dai Zhi, Wang, Hong Xia, Wang, Yi Ting
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 12.09.2014
Subjects
Anomaly Detection
Target Detection
Hyperspectral
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Summary:Hyperspectral remote sensing technology can be used to make a correct spectral diagnosis on substances. So it is widely used in the field of target detection and recognition. However, it is very difficult to gather accurate prior information for target detect since the spectral uncertainty of objects is pervasive in existence. An anomaly detector can enable one to detect targets whose signatures are spectrally distinct from their surroundings with no prior knowledge. It becomes a focus in the field of target detection. Therefore, we study four anomaly detection algorithms and conclude with empirical results that use hyperspectral imaging data to illustrate the operation and performance of various detectors.
Bibliography:Selected, peer reviewed papers from the 2014 3rd International Conference on Information Technology and Management Innovation (ICITMI 2014), July 19-20, 2014, Shenzhen, China
ISBN:303835239X
9783038352396
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.631-632.631