HIGH RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION OF ANCIENT VILLAGES BASED ON
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Remote sensing imagery has abundant geographic information, and buildings and other artificial objects account for a large proportion of remote sensing images of ancient villages. However, most of the existing methods of extracting buildings from remote sensing imagery are based on the characteristics of artificial design such as color, texture, shape, and so on. The accuracy of classification is not high, for this reason, the use of deep learning of the ancient village high-resolution remote sensing impact classification. First, the remote sensing satellite images of ancient villages in the
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HIGH RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION OF ANCIENT VILLAGES BASED ON
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