Real-time compression and reconstruction method of Video-SAR (Synthetic Aperture Radar) image

Abstract

The invention discloses a real-time compression and reconstruction method of a Video-SAR (Synthetic Aperture Radar) image. A Robust-PCA (Principal Component Analysis) is used for effectively inhibiting coherent speckle noise in the Video-SAR image, and detail texture characteristics are favorably retained. Through the training and learning of an optimal Wavelet packet basis dictionary, good sparse representation on the Video-SAR image is realized so as to reduce a measurement amount, improve reconstruction precision and store the parse matrixes of different types of scenes, and the parse matrixes are directly called during dilution representation to reduce an operation amount. The frame difference of the key frame and the non-key frame of the Video-SAR image is subjected to low-complexity compression coding at different sampling rates, and distributed compression perception reconstruction can be adopted to meet real-time transmission requirements. A Canny operator is used for carrying out edge detection to realize a purpose that the non-key frame is subjected to Bregman iteration fine decoding, and the high-resolution SAR image with rich details can be reconstructed.

Description

Technical field [0001] The invention belongs to the technical field of radar signal processing, and relates to a method for real-time compression and reconstruction of Video-SAR images based on optimal Wavelet packet-based dictionary learning and distributed compressed sensing, and is mainly used to solve the storage and reconstruction of massive Video-SAR images for data. The tremendous pressure of transmission. Background technique [0002] Video Synthetic Aperture Radar (Video-SAR) was released in May 2012 by the Defense Advanced Research Projects Agency (DARPA) of the U.S. Department of Defense. The goal is to develop a high-resolution full-motion Video-SAR that works in the terahertz band. SAR can penetrate clouds and dust to image, detect, and track targets in ground scenes, and can use clouds and dust to protect itself from enemy attacks. For Video-SAR, the long-distance wireless transmission technology with high data volume and high data rate greatly limits the transmiss...

AI Technical Summary

Problems solved by technology

[0009] The technical problem solved by the present invention is: to overcome the deficiencies in the prior art, and to provide a method for real-time compression and reconstruction of Video-SAR images based on optimal Wavelet packet-based dictionary learning and distributed compressed sensing. Coherent speckle suppression of SAR images, and sparse representation of Video-SAR images, and on this basis, a low-complexity Video-SAR image compression coding method, and reconstruction of high-resolution Video-SAR images are implemented

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