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

A technology of compression and reconstruction, image, applied in image enhancement, image analysis, image coding and other directions, can solve problems such as low complexity

Active Publication Date: 2016-07-06
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 di...

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

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Embodiment Construction

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

[0068] Such as figure 1 As shown, it is a flowchart of a method for real-time compression of Video-SAR images based on optimal Wavelet packet-based dictionary learning and distributed compressed sensing according to the present invention. The specific steps of the method are as follows:

[0069] Step S1: First, perform logarithmic transformation on 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...

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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, 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...

Claims

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Application Information

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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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