A method for extracting clustered areas of sar images based on the nearest neighbor connection of semantic line segments

Abstract

The present invention provides a method for extracting clustered areas of SAR images based on the nearest neighbor connection of semantic line segments. Firstly, the optimal aggregation degree is obtained according to the statistical histogram of the SAR pixel sketch map, and the seed line segment is grown according to the optimal aggregation degree to obtain the semantic line segment set. , use the endpoints of the semantic line segment to form an endpoint set and construct a KD tree; then use the KD tree to quickly obtain the nearest neighbor endpoint of each endpoint in the endpoint set and the nearest neighbor endpoint within the optimal aggregation degree range, and connect the neighbor endpoints to obtain multiple Connected and closed areas; Finally, based on the area, these areas are divided into aggregated areas and undetermined areas, and then the information entropy is used to further judge whether the undetermined area is an aggregated area; The aggregation area of ​​can not only better represent the extremely inhomogeneous area of ​​the SAR image, but also better locate the boundary of the extremely inhomogeneous area.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for extracting a SAR image aggregation area based on semantic line segment nearest neighbor connection. Background technique [0002] Synthetic aperture radar (SAR) is an important direction in the field of remote sensing technology, which is used to obtain high-resolution images of the earth's surface. Compared with other types of imaging technology, SAR imaging technology has very important advantages. It is not affected by atmospheric conditions such as clouds, rain or heavy fog, and light intensity, and can obtain high-resolution remote sensing data all day and all day. The interpretation technology of SAR images has important guiding significance for many fields such as military affairs, agriculture, and geography. SAR image segmentation is one of the key issues of SAR image interpretation, and it is also the basis and premise of SAR image interpretation. ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for extracting a SAR image aggregation area based on semantic line segment neighbor connection, which solves the problem that the boundary of the extracted aggregation area is inaccurate and unrealistic in the existing SAR image aggregation area extraction method. The shape of the object or the defect that the large non-sketch area in the area to be extracted is wrongly divided into aggregated areas

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