TY - GEN
T1 - A Band Grouping Based Hyperspectral Imagery Classification Method with Analysis Dictionary Learning
AU - Ma, Mengting
AU - Wang, Cong
AU - Zhang, Lei
AU - Zhang, Yanning
AU - Wei, Wei
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/18
Y1 - 2018/10/18
N2 - Dictionary learning (DL) has became popular in image classification tasks. Due to the discriminative analysis dictionary learning (DADL) model can supply richer feature representations and discriminability, it gradually received extensive attention. Inspired by this, we propose a band grouping based hyperspectral imagery classification method with analysis dictionary learning framework in this study. First, we segment all spectra into several segments according to the spectral correlation. Second, DADL is utilized to represent the data and obtain the sparse representation coefficients. Finally, we employ the k-nearest neighbor (KNN) algorithm to classify the sparse representation coefficients, and the final classification label is obtained by voting the KNN results. Experimental results on hyperspectral imagery classification validated the effectiveness of the proposed method.
AB - Dictionary learning (DL) has became popular in image classification tasks. Due to the discriminative analysis dictionary learning (DADL) model can supply richer feature representations and discriminability, it gradually received extensive attention. Inspired by this, we propose a band grouping based hyperspectral imagery classification method with analysis dictionary learning framework in this study. First, we segment all spectra into several segments according to the spectral correlation. Second, DADL is utilized to represent the data and obtain the sparse representation coefficients. Finally, we employ the k-nearest neighbor (KNN) algorithm to classify the sparse representation coefficients, and the final classification label is obtained by voting the KNN results. Experimental results on hyperspectral imagery classification validated the effectiveness of the proposed method.
KW - Discriminative analysis dictionary learning
KW - hyperspectral imagery classification
KW - spectra segmentation
UR - http://www.scopus.com/inward/record.url?scp=85057100009&partnerID=8YFLogxK
U2 - 10.1109/BigMM.2018.8499444
DO - 10.1109/BigMM.2018.8499444
M3 - 会议稿件
AN - SCOPUS:85057100009
T3 - 2018 IEEE 4th International Conference on Multimedia Big Data, BigMM 2018
BT - 2018 IEEE 4th International Conference on Multimedia Big Data, BigMM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Multimedia Big Data, BigMM 2018
Y2 - 13 September 2018 through 16 September 2018
ER -