Method for recognizing collaborative target in SAR (Synthetic Aperture Radar) image based on visual attention mechanism

A visual attention mechanism and target recognition technology, applied in the field of SAR image collaborative target recognition based on visual attention mechanism, can solve the problems of not considering the guiding role of visual tasks, low level of algorithm intelligent processing, and unsatisfactory detection results.

Inactive Publication Date: 2013-04-24
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

This comprehensive approach adds both computational complexity and analytical difficulty
In addition, all kinds of algorithms start from the image itself, without considering the guiding role of visual tasks on image analysis, and the research lacks the connection between b

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  • Method for recognizing collaborative target in SAR (Synthetic Aperture Radar) image based on visual attention mechanism
  • Method for recognizing collaborative target in SAR (Synthetic Aperture Radar) image based on visual attention mechanism
  • Method for recognizing collaborative target in SAR (Synthetic Aperture Radar) image based on visual attention mechanism

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Embodiment

[0083] The realization process of the present invention is illustrated by a specific example.

[0084] Select a SAR image containing several targets to be identified as the input image, such as image 3 As shown, the size is 1024×1024 pixels, and the vision task is to search for tank targets in SAR images.

[0085] According to step 1, a four-level scale space representation of the SAR image is established, and the brightness visual feature map I of the SAR image is obtained by calculating the "central-peripheral difference" between the high-resolution scale image and the low-resolution scale image SAR (1,3) and I SAR (2,4), contour visual feature map E SAR (1,3) and E SAR (2,4), directional visual feature maps O(1,3) and O(2,4).

[0086] As described in step 2, first calculate the brightness feature saliency map through the brightness feature map, contour feature map and direction feature map contour feature saliency map and directional feature saliency maps Then an...

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Abstract

The invention provides a method for recognizing a collaborative target in an SAR (Synthetic Aperture Radar) image based on a visual attention mechanism. The method comprises the following steps of: establishing the scale spatial presentation of an SAR image; extracting a low-layer visual feature map, carrying out semantic translation on a visual task, translating the visual task, decomposing the visual feature map, calculating the weight of each visual feature map, and generating a visual task saliency map relevant to the visual task; selecting a salient target region in the SAR image by utilizing the visual task saliency map to realize the separation of a foreground and a background of the target region in the SAR image; learning samples of various known prototype targets through a collaborative learning algorithm to obtain features and feature spaces of the known prototype targets and generate a known prototype target knowledge base; and recognizing collaboration of targets in the salient target region: recognizing the targets in the salient target region of the selected SAR image based on the known prototype target knowledge base by utilizing a collaboration pattern recognition order parameter dynamic iteration process.

Description

technical field [0001] The invention relates to the technical field of SAR image target recognition, in particular to a SAR image cooperative target recognition method based on a visual attention mechanism. Background technique [0002] Synthetic Aperture Radar (SAR) is an active coherent imaging radar operating in the microwave band. It has long-distance, fast, and large-area high-resolution imaging capabilities. Land surveying and mapping, resource exploration and other fields. SAR images are mainly used in military reconnaissance, surveillance, strike effect evaluation, and dynamic detection of important targets, etc., and can obtain information such as the type, distribution situation, and geographic coordinates of various military targets in the enemy's deep area from a wide range. information. With the rapid development of early warning aircraft, reconnaissance drones and other related equipment mounted with SAR imaging equipment, SAR images have become an important ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/66
Inventor 邵静王芳张铭陈鹏
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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