Automatic extraction method of loess shallow ditch based on high-resolution remote sensing image and dem
A remote sensing image, high-resolution technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of complex data collection operations, difficulty in large-scale shallow trenches, inefficiency, etc., to facilitate basic data, save money The effect of human and material resources
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[0041] For such as figure 2 For the high-resolution remote sensing image of the sample area shown, the following steps are taken:
[0042] Step 1. First, obtain high-resolution images, and use the existing basemap data to crop to obtain the slope where the shallow ditch is located, and then perform edge detection on it to obtain the edge image of the shallow ditch; the high-resolution remote sensing used in this example The image is a Google Earth image with a resolution of 0.5m, and the cropped shallow ditch slope image is as follows figure 2 As shown; using the Canny operator for edge detection, the edge image is obtained as image 3 shown.
[0043]Step 2, use the existing D8 flow direction algorithm to judge the flow direction of the DEM of the slope where the shallow ditch is located, and recode the flow direction so that the pixel values are between 1-8, which represent right (east) and bottom right respectively (southeast), bottom (south), bottom left (southwest),...
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