Vegetation roundabout automation extraction method facing high-resolution remote sensing images

Abstract

The present invention discloses a vegetation roundabout automation extraction method facing high-resolution remote sensing images. The method comprises four steps: image segmentation facing objects and extraction based on rules, road classification based on a support vector machine, road cavity extraction and detection topology relation of roundabout blocks and cavities. The image segmentation facing objects comprise two steps of segmentation and fusion, the segmentation comprises two modes consisting of edge and intensity, and the edge mode is preferentially selected; and the fusion has two modes consisting of a full [Lambda] mode or a fast [Lambda] mode, and the full [Lambda] mode is preferentially selected. The road classification based on the support vector machine has four functions taken as the alternative of a kernel function, the four functions comprise linearity, polynomial, a radial basis function and an S shape, and the radial basis function is preferentially selected. The vegetation roundabout automation extraction method facing high-resolution remote sensing images can effectively extract roundabouts comprising vegetation, and is high in accuracy, high in adaptability and automatic, and does not depend on other auxiliary data, etc.

Description

technical field [0001] The invention belongs to the technical field of visual processing, and relates to a method for automatically extracting vegetation roundabouts from high-resolution multi-band remote sensing images. Background technique [0002] A roundabout is a traffic facility commonly found in areas with less traffic pressure and sufficient locations. Because the roundabout turns the meeting point of vehicles into a driving point, it can slow down the speed of vehicles and reduce the occurrence of collisions, thus improving traffic quality. The radius of roundabouts is generally 12 to 30 meters, which varies with road grades, and some roundabouts can even become landmarks or leisure squares. Vegetation is often planted in the roundabout, and these vegetation are generally evergreen plants, flowers or low shrubs, and should have obvious edges and a height that does not affect the driver's driving. [0003] The extraction of vegetation roundabouts can help understand...

AI Technical Summary

Problems solved by technology

However, the current round-island extraction methods still have many deficiencies, such as low extraction accuracy, failure to make good use of vegetation information in remote sensing images, or having to rely on other auxiliary data, etc.

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