| TM image-based land use information extraction in semi-arid region——A case study of Dingxiang County of Shanxi Province |
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| DOI：10.7606/j.issn.1000-7601.2012.01.37 |
| Key Words: SVM NDVI texture feature land use PCA |
| Author Name | Affiliation | | LU Liuye | College of Resources & Environment, Northwest A & F University, Yangling, Shaanxi 712100, China | | LI Guanglu | College of Resources & Environment, Northwest A & F University, Yangling, Shaanxi 712100, China | | ZHANG Li | College of Resources & Environment, Northwest A & F University, Yangling, Shaanxi 712100, China | | ZHANG Fafa | College of Forestry, Northwest A & F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| In order to extract land use information in semiarid region efficiently, Dingxiang Country of Shanxi Province is taken as the research area. Based on Landsat TM image and PCA, a comprehensive model of SVM integrated NDVI with texture features is adopted to classify regional land use information by using model maker of ENVI software. The result shows: contrasted with the classification based on the method of Maximum Likelihood and Texture Features-based SVM, the accuracy of omprehensive classification model of SVM integrated NDVI with texture features is significantly improved, and the overall classification accuracy is 84.50%, while Kappa coefficient reaches 0.8113, this work has e
stablished a novel methodological framework for the extraction of land use information in semiarid region. |
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