标题:Three-Dimensional Wavelet Texture Feature Extraction and Classification for Multi/Hyperspectral Imagery

作者:Guo, X (Guo, Xian); Huang, X (Huang, Xin); Zhang, LP (Zhang, Liangpei)

卷:11 期:12 页:2183-2187 DOI:10.1109/LGRS.2014.2323963 出版年:DEC 2014

摘要:A 3-D wavelet-transform-based texture feature extraction algorithm for the classification of urban multi/hyperspectral imagery is investigated in this study. It is widely agreed that it is necessary to simultaneously exploit the spectral and spatial information for image classification. In this context, the 3-D discrete wavelet transform (3-D DWT) is studied since it considers the local imagery patch as a cube and, hence, is capable of representing the imagery information in both spectral and spatial domains. The notable characteristic of the 3-D DWT is the ability to decompose an image into a set of spectral-spatial components. Specifically, we propose three approaches for 3-D DWT texture extraction, namely, pixelwise, non-overlapping, and overlapping cube. Experiments conducted on AVIRIS hyperspectral and WorldView-2 multispectral images revealed that the 3-D DWT textures achieved much better results than the widely used spectral-spatial classification methods.

地址:[Guo, Xian; Huang, Xin; Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.

通讯作者地址:Guo, X (通讯作者),Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.

电子邮件地址:huang_whu@163.com

ISSN:1545-598X

eISSN:1558-0571