Land cover classification of remotely sensed image with hierarchical iterative method

Based on the analysis of the single-stage classification results obtained by the multitemporal SPOT 5 and Landsat 7 ETM + multispectral images separately and the derived variogram texture, the best data combinations for each land cover class are selected, and the hierarchical iterative classification is then applied for land cover mapping. The proposed classification method combines the multitemporal images of different resolutions with the image texture, which can greatly improve the classification accuracy. The method and strategies proposed in the study can be easily transferred to other similar applications.

作 者： Li Peijun HUANG Yingduan   作者單位： Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China  刊 名： 自然科學(xué)進(jìn)展（英文版）  SCI 英文刊名： PROGRESS IN NATURAL SCIENCE  年，卷(期)： 2005 15(5)  分類號(hào)： N91  關(guān)鍵詞： multitemporal   iterative classification   texture   land cover   image classification  

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