Texture feature extraction of hyper-spectral image with three-dimensional gray-level co-occurrence

OPT OpenIR > 光谱成像技术研究室

	Texture feature extraction of hyper-spectral image with three-dimensional gray-level co-occurrence
	Wang, Shuang; Hu, Bingliang; Wang, Feng
	2015-03-01
发表期刊	Journal of Information and Computational Science
卷号	12 期号:4 页码:1439-1448
摘要	To extract useful information of hyper-spectral images effectively, a kind of texture feature extraction method using three-dimensional Gray-level Co-occurrence Matrix (3D GLCM) is proposed in this paper. The method extracts the texture features of hyper-spectral image as a pseudo data cube that combines the two-dimensional space data with one-dimensional spectrum data, instead of each band computed alone. Moreover, the parameters related to building the 3D GLCM are all optimized. To obtain the features both in spectral space and spatial space, the moving directions of texture window are extended to the spectral space, namely that four directions in two-dimensional (2D) image space are expanded to thirteen ones in three-dimensional (3D) space. Then, the Jeffreys-matusita (JM) distance based on the class separable criterion is employed to select the most suitable window size for each object. Finally, the multi-scale texture features are used for classification. The experiments also show that, compared with the traditional methods, the feature extraction method is more effective in describing objects and has better classification accuracy. ©, 2015, Binary Information Press
收录类别	EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/27328
专题	光谱成像技术研究室
推荐引用方式 GB/T 7714	Wang, Shuang,Hu, Bingliang,Wang, Feng. Texture feature extraction of hyper-spectral image with three-dimensional gray-level co-occurrence[J]. Journal of Information and Computational Science,2015,12(4):1439-1448.
APA	Wang, Shuang,Hu, Bingliang,&Wang, Feng.(2015).Texture feature extraction of hyper-spectral image with three-dimensional gray-level co-occurrence.Journal of Information and Computational Science,12(4),1439-1448.
MLA	Wang, Shuang,et al."Texture feature extraction of hyper-spectral image with three-dimensional gray-level co-occurrence".Journal of Information and Computational Science 12.4(2015):1439-1448.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Texture feature extr（2798KB）	期刊论文	作者接受稿	限制开放	CC BY-NC-SA	请求全文