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

发布日期:2014-12-19 16:21:19 阅读次数:[6982]次 作者:

核心提示:来源出版物: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

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

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