TY - GEN
T1 - Hyperspectral image classification using Gradient Local Auto-Correlations
AU - Chen, Chen
AU - Jiang, Junjun
AU - Zhang, Baochang
AU - Yang, Wankou
AU - Guo, Jianzhong
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/6/7
Y1 - 2016/6/7
N2 - Spatial information has been verified to be helpful in hyperspectral image classification. In this paper, a spatial feature extraction method utilizing spatial and orientational auto-correlations of image local gradients is presented for hyperspectral imagery (HSI) classification. The Gradient Local Auto-Correlations (GLAC) method employs second order statistics (i.e., auto-correlations) to capture richer information from images than the histogram-based methods (e.g., Histogram of Oriented Gradients) which use first order statistics (i.e., histograms). The experiments carried out on two hyperspectral images proved the effectiveness of the proposed method compared to the state-of-the-art spatial feature extraction methods for HSI classification.
AB - Spatial information has been verified to be helpful in hyperspectral image classification. In this paper, a spatial feature extraction method utilizing spatial and orientational auto-correlations of image local gradients is presented for hyperspectral imagery (HSI) classification. The Gradient Local Auto-Correlations (GLAC) method employs second order statistics (i.e., auto-correlations) to capture richer information from images than the histogram-based methods (e.g., Histogram of Oriented Gradients) which use first order statistics (i.e., histograms). The experiments carried out on two hyperspectral images proved the effectiveness of the proposed method compared to the state-of-the-art spatial feature extraction methods for HSI classification.
UR - https://www.scopus.com/pages/publications/84978922898
U2 - 10.1109/ACPR.2015.7486544
DO - 10.1109/ACPR.2015.7486544
M3 - 会议稿件
AN - SCOPUS:84978922898
T3 - Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
SP - 454
EP - 458
BT - Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
Y2 - 3 November 2016 through 6 November 2016
ER -