TY - GEN
T1 - An MCD-based local ACE algorithm for hyperspectral imagery target detection
AU - Yan, Hangqi
AU - Zhang, Yanning
AU - Wei, Wei
AU - Zhang, Lei
AU - Li, Fei
AU - Wang, Bobo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/12
Y1 - 2014/11/12
N2 - Unstructured detectors such as KGLRT, ACE and AMF are widely applied for target detection in hyperspectral imagery (HSI). However, conventional global and local approaches construct background model without considering the contamination caused by anomalies and suspected targets. This paper proposes a local ACE algorithm based on the minimum covariance determinant (MCD) estimator. In the proposed algo-rithm, a spectral angle based clustering method is applied to the whitened hyperspectral data to form several disjoint clusters over the whole image. Then for each cluster, the robust estimations of its background statistics are obtained using the MCD estimator. Finally, the ACE detector is applied to each pixel utilizing the robust background statistics of the cluster. With experimental results on two different real datasets, the superiority of the proposed algorithm is demonstrated.
AB - Unstructured detectors such as KGLRT, ACE and AMF are widely applied for target detection in hyperspectral imagery (HSI). However, conventional global and local approaches construct background model without considering the contamination caused by anomalies and suspected targets. This paper proposes a local ACE algorithm based on the minimum covariance determinant (MCD) estimator. In the proposed algo-rithm, a spectral angle based clustering method is applied to the whitened hyperspectral data to form several disjoint clusters over the whole image. Then for each cluster, the robust estimations of its background statistics are obtained using the MCD estimator. Finally, the ACE detector is applied to each pixel utilizing the robust background statistics of the cluster. With experimental results on two different real datasets, the superiority of the proposed algorithm is demonstrated.
KW - Background Estimation
KW - Local ACE Algorithm
KW - MCD Estimator
KW - Target Detection
UR - http://www.scopus.com/inward/record.url?scp=84916230199&partnerID=8YFLogxK
U2 - 10.1109/ICOT.2014.6954667
DO - 10.1109/ICOT.2014.6954667
M3 - 会议稿件
AN - SCOPUS:84916230199
T3 - IEEE International Conference on Orange Technologies, ICOT 2014
SP - 21
EP - 24
BT - IEEE International Conference on Orange Technologies, ICOT 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Orange Technologies, ICOT 2014
Y2 - 20 September 2014 through 23 September 2014
ER -