TY - GEN
T1 - Adaptive sparse representation for hyperspectral image classification
AU - Li, Wei
AU - Du, Qian
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/10
Y1 - 2015/11/10
N2 - In hyerspectral remote sensing community, sparse representation based classification (SRC) is a novel concept - a testing pixel is linearly represented by labeled data, and weight coefficients are often solved by an ℓ1-norm minimization. In this work, an extension of SRC is proposed by imposing an adaptive similarity measurement between the testing pixel and labeled data on the ℓ1-norm penalty, named as adaptive SRC (ASRC). ASRC generates more discriminative sparse codes which can represent the testing pixel more robustly. Experimental results demonstrate that the proposed ASRC outperforms the traditional SRC-based classification.
AB - In hyerspectral remote sensing community, sparse representation based classification (SRC) is a novel concept - a testing pixel is linearly represented by labeled data, and weight coefficients are often solved by an ℓ1-norm minimization. In this work, an extension of SRC is proposed by imposing an adaptive similarity measurement between the testing pixel and labeled data on the ℓ1-norm penalty, named as adaptive SRC (ASRC). ASRC generates more discriminative sparse codes which can represent the testing pixel more robustly. Experimental results demonstrate that the proposed ASRC outperforms the traditional SRC-based classification.
KW - Hyperspectral imagery
KW - pattern classification
KW - sparse representation
UR - http://www.scopus.com/inward/record.url?scp=84962571739&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2015.7326944
DO - 10.1109/IGARSS.2015.7326944
M3 - Conference contribution
AN - SCOPUS:84962571739
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4955
EP - 4958
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -