Comparison between constrained energy minimization based approaches for hyperspectral imagery

Hsuan Ren, Qian Du, Chein I. Chang, J. O. Jensen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

36 引文 斯高帕斯(Scopus)

摘要

Constrained Energy Minimization (CEM) has been widely used for target detection in hyperspectral remote sensing imagery. It detects the desired target signal source using a unity constraint while suppressing noise and unknown signal sources by minimizing the average output power. Base on the design CEM can only detect one target source at a time. In order to simultaneously detect multiple targets in a single image, several approaches are developed, including Multiple-Target CEM (MTCEM), Sum CEM (SCEM) and Winner-Take-All CEM (WTACEM). Interestingly, the sensitivity of noise and interference seems to play a role in the detection performance. Unfortunately, this issue has not been investigated. In this paper, we take up this problem and conduct a quantitative study of the noise and interference suppression abilities of LCMV, SCEM, WTACEM for multiple-target detection.

原文???core.languages.en_GB???
主出版物標題2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
發行者Institute of Electrical and Electronics Engineers Inc.
頁面244-248
頁數5
ISBN(電子)0780383508, 9780780383500
DOIs
出版狀態已出版 - 2004
事件2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data - Greenbelt, United States
持續時間: 27 10月 200328 10月 2003

出版系列

名字2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

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???event.eventtypes.event.conference???2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
國家/地區United States
城市Greenbelt
期間27/10/0328/10/03

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