Analysis of wavelet packet and statistical textures for object-oriented classification of forest-agriculture ecotones using SPOT 5 imagery

Author:

Su Wei1,Zhang Chao1,Yang Jianyu1,Wu Honggan2,Deng Lei3,Ou Wenhao1,Yue Anzhi1,Chen Minjie1

Affiliation:

1. a College of Information and Electrical Engineering, China Agricultural University , Beijing , 100083 , PR China

2. b Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry , Beijing , 100091 , PR China

3. c College of Resource Environment and Tourism, Capital Normal University , Beijing , 100048 , PR China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Reference35 articles.

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2. Local Indicators of Spatial Association-LISA

3. Texture classification using wavelet transform

4. An optimum feature extraction method for texture classification

5. Baatz , M. Benz , U. Dehghani , S. Heynen HÖltje , M.A. Hofmann , P. Lingenfelder , I. Mimler , M. sohlbach , M. Weber , M. and Willhauck , G. 2004. eCognition Professional User Guide, 159–166. München: Definiens Imaging GmbH.

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