TY - GEN
T1 - Joint sparse and collaborative representation for target detection in hyperspectral imagery
AU - Li, Wei
AU - Du, Qian
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/6/28
Y1 - 2014/6/28
N2 - In this paper, we propose a joint sparse and collaborative representation-based algorithm for target detection in hyperspectral imagery. The proposed target detection is achieved by the representation of the test samples using a target library and a background library. The sparse representation of given target samples is solved by an ℓ1-norm minimization of the representation weight vector, and the collaborative representation of background samples is estimated by an ℓ2-norm minimization. The detection output of the test sample is determined by the difference between sparse reconstruction and collaborative reconstruction. Experimental results show that this algorithm outperforms the existing hyperspectral target detection algorithms, such as adaptive coherence estimator and pure sparse representation-based detector.
AB - In this paper, we propose a joint sparse and collaborative representation-based algorithm for target detection in hyperspectral imagery. The proposed target detection is achieved by the representation of the test samples using a target library and a background library. The sparse representation of given target samples is solved by an ℓ1-norm minimization of the representation weight vector, and the collaborative representation of background samples is estimated by an ℓ2-norm minimization. The detection output of the test sample is determined by the difference between sparse reconstruction and collaborative reconstruction. Experimental results show that this algorithm outperforms the existing hyperspectral target detection algorithms, such as adaptive coherence estimator and pure sparse representation-based detector.
KW - Collaborative Representation
KW - Hyperspectral Imagery
KW - Sparse Representation
KW - Target Detection
UR - http://www.scopus.com/inward/record.url?scp=85038594122&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS.2014.8077591
DO - 10.1109/WHISPERS.2014.8077591
M3 - Conference contribution
AN - SCOPUS:85038594122
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2014 6th Workshop on Hyperspectral Image and Signal Processing
PB - IEEE Computer Society
T2 - 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014
Y2 - 24 June 2014 through 27 June 2014
ER -