SAR image man-made target detection method based on visual contrast and information entropy

A target detection and information entropy technology, applied in the field of remote sensing image processing, can solve the problems of unsatisfactory detection results, inconvenient engineering implementation, and low processing efficiency, and achieve good universality, easy engineering implementation, and high processing efficiency Effect

CN105405132AInactive Publication Date: 2016-03-16HOHAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2016-03-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an SAR image man-made target detection method based on visual contrast and information entropy. Local contrast information of an image is extracted by simulating simple cells in a primary visual cortex according to biological visual features; a computing pool model is learnt and S units are integrated into a complex unit C, and Gaussian filtering processing is performed so that a global salient graph is generated; threshold segmentation is performed on the salient graph according to the maximum information entropy principle; isolated pixel sets are eliminated by morphological filtering processing, and connectivity of the pixel sets is enhanced; and target edge information is extracted and displayed on an original SAR image so that a target detection result is obtained. The achieved beneficial effects are that effective detection of the man-made target in the SAR image can be realized, computation burden is low, processing efficiency is high and project implementation is facilitated, and thus the method can be used for rapid detection of the small man-made target.
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Description

technical field

[0001] The invention relates to a synthetic aperture radar (Synthetic Aperture Radar, SAR) image artificial target rapid detection method based on visual contrast and information entropy, which belongs to the technical field of remote sensing image processing. Background technique

[0002] Object detection is an important research topic in the field of SAR image interpretation. Since SAR technology has reached the practical level, the research on SAR image object detection has been widely concerned. Man-made targets such as buildings, bridges, vehicles, and ships are the key monitoring objects in SAR earth observation. The detection and identification of such targets are of great significance in both military and civilian use, and have been widely used in military reconnaissance and urban planning. , disaster monitoring, resource survey and other fields.

[0003] The existing SAR image target detection algorithms mainly include: target detection algorithms b...

Examples

Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0027] refer to figure 1 , the specific implementation steps of the present invention are as follows.

[0028] Step 1): Create a Gaussian pyramid image:

[0029]Pyramid is one of the multi-scale image representation methods. The bottom of it is the most original image with the highest resolution. Every time it moves up one layer, the scale of the image is reduced by half, and the resolution is also reduced. According to the image characteristics of different sampling layers of the Gaussian pyramid, and on the basis of multiple experiments, the present invention establishes a 4-layer image pyramid to perform down-sampling operations on the SAR image. Let δ be the number of layers of the pyram...