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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

Active Publication Date: 2022-02-11
NANJING NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the complexity of the topography of the loess, it is difficult to obtain large-scale shallow trenches by field measurement
Using remote sensing images to visually interpret the characteristic information of shallow trenches, the data collection operation is complex and inefficient, and the accuracy of the collected data is greatly affected by human factors

Method used

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  • Automatic extraction method of loess shallow ditch based on high-resolution remote sensing image and dem
  • Automatic extraction method of loess shallow ditch based on high-resolution remote sensing image and dem
  • Automatic extraction method of loess shallow ditch based on high-resolution remote sensing image and dem

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Embodiment

[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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Abstract

The invention discloses an automatic extraction method of loess shallow ditch based on high-resolution remote sensing images and DEM. First, edge detection is performed on the high-resolution image of the shallow ditch slope to obtain the edge image of the shallow ditch; secondly, the shallow ditch slope is The flow direction of the DEM is judged and re-encoded to generate a flow direction raster; again, the edge image is directional detected according to the flow direction, starting from each edge pixel of the edge image, and checking whether the next pixel is an edge pixel along the flow direction , if it is, then connect and repeat the check of the previous step, if not, the detection is terminated; finally, use an appropriate threshold value to eliminate the pseudo shallow groove information and the grid conversion line in the result of the previous step, that is, obtain the shallow loess area of ​​the extracted area. ditch. The invention provides an automatic loess shallow ditch extraction method, which saves manpower and material resources for field investigations, and can provide richer and more convenient basic data for soil and water conservation monitoring and land resource investigations.

Description

technical field [0001] The invention belongs to water and soil conservation and land resources monitoring technology, in particular to an automatic extraction method of loess shallow ditch based on high-resolution remote sensing image and DEM. Background technique [0002] Shallow gullies are a relatively common micro-geomorphological phenomenon in the hilly and gully regions of the Loess Plateau. When rainfall occurs, gullies are generated due to the collection of slope runoff caused by terrain undulations. As the runoff continues to collect, its erosive capacity increases, and the erosion of the gully increases. The depth and width of the ditch gradually expand and develop, forming rills. It is a unique landform with vertical and horizontal gullies, such as shallow gullies, cut gullies, gullies, dry ditches and river ditches. Loess shallow gully, as a transition type from rill to cut gully, has special significance in gully erosion systems, and its potential harm is extre...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13G06T7/11G06T7/136
CPCG06T7/11G06T7/13G06T7/136G06T2207/10032G06T2207/20132
Inventor 代文杨昕程益涵刘海龙汤国安
Owner NANJING NORMAL UNIVERSITY