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

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 ...

AI Technical Summary

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 bottom-up data-driven and top-down knowledge guidance

The level of intelligent processing of various algorithms is low, which is far from the various functions of the cognitive process of human beings in the recognition process, and the detection results are not satisfactory

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