High-resolution remote sensing building extraction method combining semantic segmentation and edge detection
A semantic segmentation and high-resolution technology, applied in the field of high-resolution remote sensing building extraction, can solve the problems of non-closed, edge discontinuity, etc., and achieve the effect of improving accuracy, good restoration results, and wide applicability
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[0061] Below through embodiment, further illustrate the present invention in conjunction with accompanying drawing.
[0062] The technical solution of the present invention is a high-resolution remote sensing building extraction method combining semantic segmentation and edge detection, comprising the following steps:
[0063] Step 1. Build a building sample library: According to the geographical location of the research area, obtain high-resolution remote sensing images covering the entire research area; use artificial visual interpretation to mark the roofs of buildings on the high-resolution remote sensing images in the research area, Get building face labels and line labels. Crop the high-resolution remote sensing image and the corresponding label map in the research area, and the size is h×w. In the embodiment of the present invention, non-overlapping cropping is adopted, and the size of the cropped image and label is 512×512, thereby constructing the building Sample lib...
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