Polarized SAR polarization method based on sparse K-SVD (Singular Value Decomposition)

An image compression and sparse technology, applied in image coding, image data processing, instruments, etc., can solve the problem of redundancy not being removed, and achieve the effect of maintaining good edge details, high image compression ratio, and overcoming excessive code flow.

Active Publication Date: 2015-02-04
XIDIAN UNIV
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Problems solved by technology

This method can freely control the code stream of each channel, and obtain a compression result better than JPEG2000, but there is still a shortcoming that the removal of image redundancy through DWT continues the advantages and disadvantages of SPIHT and JPEG2000 image compression algorithms, and is directly used for polarization SAR still has a lot of redundancy that hasn't been removed

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  • Polarized SAR polarization method based on sparse K-SVD (Singular Value Decomposition)
  • Polarized SAR polarization method based on sparse K-SVD (Singular Value Decomposition)
  • Polarized SAR polarization method based on sparse K-SVD (Singular Value Decomposition)

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings.

[0030] refer to figure 1 , the concrete steps of the present invention are as follows:

[0031] Step 1: Input image.

[0032] Input an optional set of polarimetric SAR images; the polarimetric SAR images used in the embodiment of the present invention are as follows figure 2 As shown in , it is an image synthesized from polarimetric SAR data in the San Francisco area acquired by NASA in 1988, in which figure 2 (a), figure 2 (b), figure 2 (c), figure 2 (d) are the four channels of the polarimetric SAR image used in the example of the present invention, respectively denoted as HH, HV, VH, and VV channels, and their sizes are all 512×512.

[0033] Step 2: Do DCT transformation between channels.

[0034] One-dimensional DCT transformation is performed on the four channels of the input polarimetric SAR image to remove the redundancy between the channels, and fou...

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Abstract

The invention discloses a polarized SAR polarization method based on sparse K-SVD (Singular Value Decomposition) and mainly solves the problems in the prior art of redundancy between SAR image channels, and reconstructed image blurring and texture detail losing when the compression ratio is excessive. The polarized SAR polarization method includes the following steps: (1) inputting images, and conducting DCT (Discrete Cosine Transformation) on the image channels; (2) conducting 9 / 7 wavelet decomposition on each channel; (3) inputting the coefficients obtained through decomposition into a training dictionary in a K-SVD algorithm; (4) conducting sparse representation on the images through the dictionary; (5) conducting coding pre-processing on sparse coefficients; (6) coding the sparse coefficients already subject to coding pre-processing and outputting code streams. The polarized SAR polarization method effectively removes redundancy between the SAR image channels, keeps texture details of the compressed and reconstructed result images, generates a better visual effect of the reconstructed images, and can be used for storage and transmission of polarized SAR images.

Description

technical field [0001] The invention belongs to the technical field of image compression, and further relates to a compression method for polarimetric synthetic aperture radar polarimetric SAR images, which can be used for transmission and storage of polarimetric SAR images. Background technique [0002] Polarization synthetic aperture radar polarization SAR is a multi-polarization, high-resolution microwave coherent imaging radar, which can comprehensively record target scattering characteristics information. Compared with single polarization radar imaging system, polarization SAR can obtain more However, the data volume of polarimetric SAR images is also huge, which puts a huge pressure on the real-time transmission and storage of data. Therefore, an effective compression method for polarimetric SAR images is an urgent need to solve technical problem. Polarization SAR has four channels, and the compression of polarimetric SAR images should not only consider removing the r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00
Inventor 白静焦李成符俢亮刘斌王爽马晶晶马文萍杨淑媛
Owner XIDIAN UNIV
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