TY - GEN
T1 - Comparison between constrained energy minimization based approaches for hyperspectral imagery
AU - Ren, Hsuan
AU - Du, Qian
AU - Chang, Chein I.
AU - Jensen, J. O.
N1 - Publisher Copyright:
© 2004 IEEE.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=43349087707&partnerID=8YFLogxK
U2 - 10.1109/WARSD.2003.1295199
DO - 10.1109/WARSD.2003.1295199
M3 - 會議論文篇章
AN - SCOPUS:43349087707
T3 - 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
SP - 244
EP - 248
BT - 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
Y2 - 27 October 2003 through 28 October 2003
ER -