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Near-lossless real-time compression method for satellite-borne hyper-spectral interference fringe image

A technology of interference fringes and compression methods, applied in interference spectroscopy, image communication, image coding and other directions, can solve problems such as no compression methods, and achieve the effects of reducing image information entropy, increasing speed, and reducing distortion.

Active Publication Date: 2009-11-11
XIAN INSTITUE OF SPACE RADIO TECH
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Problems solved by technology

Compared with the AR model method, this method improves the calculation speed, reduces the difficulty of hardware implementation, and the distortion degree after compression and decompression is small, but this method only gives a theoretical introduction, and does not propose a specific compression method

Method used

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  • Near-lossless real-time compression method for satellite-borne hyper-spectral interference fringe image
  • Near-lossless real-time compression method for satellite-borne hyper-spectral interference fringe image
  • Near-lossless real-time compression method for satellite-borne hyper-spectral interference fringe image

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Embodiment

[0035] Next, an image is used to illustrate the implementation process of the present invention. If there are multiple images, the statistical average is calculated. For example, the hyperspectral imager currently carried on our satellite has 128 spectral bands, which can generate 256 spectral values ​​for each pixel on the ground, and the image size is M (row)*N (column)*K, where M Corresponding to the number of pixels on the ground, N corresponds to the spectral value of a certain pixel on 128 spectral bands, which is 256, and K is the pixel bit width. Assume that the row is represented by i, the column is represented by j, and Xi,j represents the pixel value of the i-th row and the j-th column. For the first 56 spectral values ​​​​of the 256 spectral values, no compression is performed, and the last 200 spectral values ​​are compressed. Lossy compression, the compression ratio is 2:1, and the compression process is:

[0036] First find the difference image:

[0037] ① The...

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Abstract

The invention provides a near-lossless real-time compression method for a satellite-borne hyper-spectral interference fringe image. The method obtains the correlative characteristic of the interference fringe image by a spectral decorrelation and entropy coding method; according to the correlative characteristic of the image, the spectral decorrelation treatment is carried out on the interference fringe with a large optical path difference so as to obtain the spectral decorrelation treatment difference image; subsequently, according to the data distribution probability of the difference image, a quantization coding list suitable for the image is designed so as to carry out the lossless quantization on the value with the appearance probability more than or equal to 60% and carry out loss non-uniform quantization on the value with the appearance probability less than 60%; and finally a DPCM compression with a low compression ratio is adopted. The method has the advantages that the compressed and decompressed interference fringe image has small distortion, the compression and decompression treatment speed is quick and the real-time performance is good.

Description

technical field [0001] The invention relates to a quasi-lossless real-time compression method for spaceborne hyperspectral interference fringe images. Background technique [0002] At present, my country's satellites are equipped with a new type of remote sensor—hyperspectral imager. The remote sensor has L (L>100) spectral bands, and can generate N (N>L) spectral bands for each pixel on the ground. The resulting interference fringe image has a large amount of data, and only real-time and reliable compression with a small compression ratio can meet the requirements of channel transmission. Since such images are different from general remote sensing images, they cannot be compressed by conventional compression methods. [0003] Now the data compression technology of the spaceborne hyperspectral imager is a method based on the autoregressive AR model proposed by the French. This method belongs to lossy compression. It first establishes the parameter model of the interfer...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/45H04N7/26G06T9/00H04N19/13
Inventor 王菊花吴增印
Owner XIAN INSTITUE OF SPACE RADIO TECH
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