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As the low vegetation coverage in arid region, the pixels with full vegetation coverage could not be found for medium and low resolution images and it is influenced by the soil background when vegetation coverage information is extracted using vegetation index. Thus, the accuracy of extracting vegetation coverage in arid areas is not high. To solve this problem, this paper presented the model, which...
The wetland classification of medium-resolution remote sensing images is a difficult problem because the mixed pixel phenomenon is serious. In this study, visual interpretation was used to extract water. Then the traditional and improved linear spectral mixture analysis models were selected to extract other wetland types. Although errors and confusion exist, this method shows satisfying results with...
Traditional level-set methods use gray level images as its main study objects. The basic idea is coupling image data and speed of the curve deformation, stopping the curve evolution on the edge of target, which requires a speed function to control the evolvement. However, traditional methods only set gray-scale gradient information as the stopping power of contour lines to define the velocity function,...
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