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Extraction of Spatial Characteristics of Cadastral Land Category from RapidEye Satellite Images
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 Title & Authors
Extraction of Spatial Characteristics of Cadastral Land Category from RapidEye Satellite Images
La, Phu Hien; Huh, Yong; Eo, Yang Dam; Lee, Soo Bong;
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 Abstract
With rapid land development, land category should be updated on a regular basis. However, manual field surveys have certain limitations. In this study, attempts were made to extract a feature vector considering spectral signature by parcel, PIMP (Percent Imperviousness), texture, and VIs (Vegetation Indices) based on RapidEye satellite image and cadastral map. A total of nine land categories in which feature vectors were significantly extracted from the images were selected and classified using SVM (Support Vector Machine). According to accuracy assessment, by comparing the cadastral map and classification result, the overall accuracy was 0.74. In the paddy-field category, in particular, PO acc. (producer's accuracy) and US acc. (user's accuracy) were highest at 0.85 and 0.86, respectively.
 Keywords
Land Category;Multi-Spectral Satellite Image;Cadastral Map;Spatial Characteristics;
 Language
English
 Cited by
 References
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