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A method for real-time compression and reconstruction of video-sar images

A technology for compressing and reconstructing images, applied in image enhancement, image analysis, image coding, etc., capable of solving low-complexity problems

Active Publication Date: 2019-01-15
CHINA ACADEMY OF SPACE TECHNOLOGY
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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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  • A method for real-time compression and reconstruction of video-sar images
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  • A method for real-time compression and reconstruction of video-sar images

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[0067] It should be noted that the method of the present invention is only effective for real numbers. For Video-SAR complex-valued images, it needs to be decomposed into two matrices according to the real part and the imaginary part, and then the real part matrix and the imaginary part matrix are respectively processed by the method of the present invention. Codec to achieve compression and reconstruction of Video-SAR complex-valued images.

[0068] Such as figure 1 Shown, be a kind of flow chart of the Video-SAR image real-time compression method based on optimal Wavelet package base dictionary learning and distributed compressed sensing of the present invention, the concrete steps that this method comprises are as follows:

[0069] Step S1: First, logarithmically transform each frame of the Video-SAR image (the number of frames is K, the size of the image is m×n, K, m, and n are all positive integers), so that the coherent speckle noise is transformed from multiplicative no...

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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. The enormous pressure of transmission. Background technique [0002] Video Synthetic Aperture Radar (Video-SAR) was released by the Defense Advanced Research Projects Agency (DARPA) in May 2012. The goal is to develop a radar that works in the terahertz frequency band. High-resolution full-motion Video-SAR can penetrate clouds, dust, etc. to image, detect and track ground scene targets, and can use clouds, dust, etc. 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 transmission bandwidth, and it needs to be compressed within the allowable distortion range of the image so that the compres...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T9/00
CPCG06T9/00G06T2207/10044G06T2207/20081
Inventor 刘露刘波张学攀王成
Owner CHINA ACADEMY OF SPACE TECHNOLOGY
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