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Distributed Lossy Coding and Decoding Method for Coastal Zone Hyperspectral Imagery Based on Area of ​​Interest

A technology for regions of interest and hyperspectral images, applied in the field of distributed lossy encoding and decoding of coastal hyperspectral images, can solve problems such as no algorithm

Inactive Publication Date: 2019-02-15
LIAONING NORMAL UNIVERSITY
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Problems solved by technology

However, there are not many hyperspectral remote sensing image coding schemes based on distributed source coding, especially distributed coding methods for sensor networks, remote sensing systems, and overcoming limited bandwidth and energy constraints are still in the stage of continuous development and have not been widely recognized. The emergence of mature and stable algorithms

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  • Distributed Lossy Coding and Decoding Method for Coastal Zone Hyperspectral Imagery Based on Area of ​​Interest
  • Distributed Lossy Coding and Decoding Method for Coastal Zone Hyperspectral Imagery Based on Area of ​​Interest
  • Distributed Lossy Coding and Decoding Method for Coastal Zone Hyperspectral Imagery Based on Area of ​​Interest

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Embodiment Construction

[0039] Such as figure 1 Shown: the distributed lossy coding method of coastal zone hyperspectral image based on the region of interest provided by the embodiment of the present invention includes the following steps:

[0040] Step 1. Input the coastal zone hyperspectral image to be encoded I , the height of the spectrum frame N and width M Output to the compressed code stream, each value occupies 2 bytes;

[0041] Step 2. Press the formula calculate I each spectrum of k The two lower spectral bands adjacent to it , The correlation coefficient between the spectra, if the correlation coefficient is less than 0.9, the spectral segment k set as keyframe X , otherwise, set it to the WZ frame X ;

[0042]

[0043] In formula (1), with respectively k Spectrum and No. spectral image i Row, j the gray value of the column pixel; with respectively k with The average value of the gray value of all pixels in the spectrum, here , in addition, the first s...

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Abstract

The invention discloses a coastal zone hyperspectral image distributed lossy coding and decoding method based on a region of interest, which belongs to the field of image processing. According to spectral correlation of the hyperspectral image, a spectral frame is divided into a plurality of spectral groups, and each spectral group comprises one key frame and a plurality of WZ frames; after region of interest extraction is carried out on the key frame of each spectral group, JPEG-LS lossless coding and decoding are carried out on the region of interest of the key frame, SPIHT-based coding and decoding are carried out on a background region, and compressed sensing-based coding and decoding are adopted for the WZ frames of each spectral group. The method of the invention has the advantages that the coding complexity is low, the error resilience is strong, the quality of a bit stream can be graded and the like.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a distributed lossy encoding and decoding method for coastal zone hyperspectral images based on regions of interest with high encoding efficiency, good anti-error performance, scalable quality, and low encoding complexity. Background technique [0002] In recent years, as the development planning of many important coastal economic zones such as the Bohai Rim has been upgraded to a national strategy, the demand for monitoring and management of coastal zones based on hyperspectral remote sensing is also increasing. However, the increasingly higher spectral resolution and spatial resolution lead to a rapid increase in the amount of information. At the same time, the harsh environment of the channel used for on-board transmission brings great difficulties to the compression and transmission of hyperspectral remote sensing images. In this case, how to effectively compress and transmit...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T9/00G06T11/00
CPCG06T9/004G06T11/00
Inventor 宋传鸣王相海张智迪李畅
Owner LIAONING NORMAL UNIVERSITY
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