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

A technology of gathering areas and line segments, which is applied in the field of image processing, can solve problems that do not conform to the shape of ground objects, inaccurate boundaries of gathering areas, wrongly divide areas without sketches into gathering areas, etc., and achieve the effect of fast execution speed

CN109165653BActive Publication Date: 2022-03-15XIDIAN UNIV
10 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2022-03-15

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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. ...

Examples

Embodiment Construction

[0073] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0074] In the 1980s, by summarizing the research results of human vision in psychophysics, neurophysiology and anatomy, Marr pointed out that human vision is essentially a process of information processing, and proposed a framework prototype of visual computing theory. Later, based on the sketch theory in Marr's visual computing theory, Guo, Zhu Songchun and others proposed an initial sketch model and method suitable for natural images, and realized image compression and reconstruction by using the sketch information of natural images.

[0075] Drawing on the initial sketch model proposed by Zhu Songchun et al., the applicant aims at the statistical distribution characteristics of SAR images, the inherent coherence characteristics of imaging, and the geometric characteristics different from general optical images. In the above, the sketch model of SAR image i...