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A self-enhanced SVM (support vector machines) building detection scheme is discussed. The scheme was designed for 1-metre resolution satellite imagery analysis. The scheme is a learning based segmentation without any prior prepared training data set. In the initial stage, an adaptive two-dimension Otsu algorithm is adopted to segment the image primarily into buildings and non-buildings. Then the segmented...
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