SAR Image Segmentation Method Based on Hierarchical Visual Semantics

An image segmentation and vision technology, applied in the field of image processing, can solve the problems of inaccurate boundary positioning, loss of line targets, and the inability of context windows to meet the needs of multiple scales, so as to improve the accuracy of boundary positioning and improve the accuracy.

Active Publication Date: 2017-09-26
XIDIAN UNIV
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Problems solved by technology

Although this method can improve regional consistency to a certain extent, it still cannot obtain semantically consistent regions.
The multinomial hidden model method considers the gray feature and texture feature of the image as the likelihood model at the same time, and uses the multinomial logistic regression model with aggregation characteristics as the prior model of the image, and then uses the classification expectation maximization method to obtain the segmentation result of the image. The pre-defined context window cannot meet the multi-scale requirements of SAR image content, and it is easy to cause inaccurate boundary positioning and loss of line targets during the segmentation process

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  • SAR Image Segmentation Method Based on Hierarchical Visual Semantics
  • SAR Image Segmentation Method Based on Hierarchical Visual Semantics
  • SAR Image Segmentation Method Based on Hierarchical Visual Semantics

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Embodiment Construction

[0051] refer to figure 1 , the implementation steps of the present invention are as follows:

[0052] Step 1. According to the sketch map of the SAR image, the area map is extracted, and the hierarchical visual semantic information is constructed.

[0053] (1.1) Utilize the SAR image initial sketch map acquisition method to extract the SAR image sketch map;

[0054] (1.2) Suppose the mth sketch line l m with the nth sketch line l n The distance between is D mn , m,n∈[1,2,...,S], S is the total number of sketch lines, define l m The degree of aggregation a(l m )for:

[0055]

[0056] Among them, sort( ) means to arrange the elements in the parameter in non-descending order, V is a parameter and its value range is [3-9],

[0057] a(l m ) classifies sketch lines: if a(l m )4 , the sketch line is a clustered sketch line, otherwise, the sketch line is a non-clustered sketch line, T 4 The value is 10;

[0058] (1.3) Composition area map:

[0059] For the aggregated sk...

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Abstract

The invention discloses an SAR (specific absorption rate) image segmentation method based on hierarchy visual semantics, which mainly solves the problems of difficulty in maintaining of area uniformity and inaccurate positioning of boundaries and line targets in the prior art. The SAR image segmentation method comprises the following steps of 1, according to a sketch map of SAR images, extracting an area map of the SAR images, and building the hierarchy visual semantics; 2, according to the area map, segmenting the SAR images into focusing, structural and homogenous areas; 3, segmenting the focusing area; 4, segmenting the structural area; 5, designing a positioning line object of the visual semantic rule in the structural area; 6, segmenting the homogenous area; 7, combining the segmenting results of the focusing, structural and homogenous areas and the line object, and obtaining the final segmenting result. The method has the advantages that the uniformity of the areas in the SAR images is maintained, the positioning accuracy of the boundaries and the line objects is improved, the good segmenting effect of the SAR images is realized, and the method can be used for the subsequent target classification, identifying and tracking.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to a SAR image segmentation method, and can be used for subsequent target identification and tracking. Background technique [0002] Synthetic aperture radar (SAR) has imaging characteristics such as all-weather, all-time, penetrability, long-distance, and high resolution, and has been widely used in various fields of national defense construction, national economy, and social development. SAR image segmentation is a basic and key problem in SAR image interpretation. It extracts the object of interest from the image background and provides the basis for subsequent processing such as classification, tracking, and recognition. [0003] The existing SAR image segmentation methods are mainly divided into two categories: feature-based methods and model-based methods. [0004] The feature-based method mainly emphasizes the features of the image, such as gray-level co-occurrence matrix...

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06T7/11G06T7/136
CPCG06T7/11G06T7/143
Inventor刘芳段一平李玲玲焦李成郝红侠张向荣杨淑媛武杰马晶晶尚荣华
OwnerXIDIAN UNIV