Target detection in hyperspectral images using projection pursuit with interference rejection

Agustin I. Ifarraguerri, Hsuan Ren, Chein I. Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

We present a method for the automatic, unsupervised detection of spectrally distinct targets from the background using hyperspectral imaging. The approach is based on the concepts of projection pursuit (PP) and unsupervised orthogonal subspace projection (UOSP). It has the advantage of not requiring any prior knowledge of the scene or the objects' spectral signatures. All information is obtained from the data. First, PP is used to both reduce the data dimensionality and locate potential targets. Then, UOSP suppresses the signatures from undesired objects or interferers that cause false detections when a spectral filter is applied. The result is a set of gray scale images where objects belonging to the same spectral class are enhanced while the background and other undesired objects are suppressed. This method is demonstrated using data from the Hyperspectral Digital Imagery Collection Experiment (HYDICE).

原文???core.languages.en_GB???
主出版物標題Image and Signal Processing for Remote Sensing IV
編輯Sebastiano Bruno Serpico
發行者SPIE
頁面54-62
頁數9
ISBN(電子)9780819429599
DOIs
出版狀態已出版 - 4 12月 1998
事件Image and Signal Processing for Remote Sensing IV 1998 - Barcelona, Spain
持續時間: 21 9月 199825 9月 1998

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
3500
ISSN(列印)0277-786X
ISSN(電子)1996-756X

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???event.eventtypes.event.conference???Image and Signal Processing for Remote Sensing IV 1998
國家/地區Spain
城市Barcelona
期間21/09/9825/09/98

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