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Coastal zone hyperspectral image distributed lossy coding and decoding method based on region 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: 2016-08-03
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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  • Coastal zone hyperspectral image distributed lossy coding and decoding method based on region of interest
  • Coastal zone hyperspectral image distributed lossy coding and decoding method based on region of interest
  • Coastal zone hyperspectral image distributed lossy coding and decoding method based on region of interest

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Embodiment Construction

[0039] Such as figure 1Shown: 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 I to be encoded, and output the height N and width M of the spectral segment frame to the compressed code stream, and each value occupies 2 bytes;

[0041] Step 2. Press the formula Calculate each spectral segment k of I and its two adjacent lower spectral segments , The correlation coefficient between the spectra, if the correlation coefficient is less than 0.9, then set the spectral segment k as the key frame X, otherwise, set it as the WZ frame X;

[0042]

[0043] In formula (1), with are the kth spectral segment and the The gray value of the i row and j column pixels of the spectral image; with Then the kth and The average value of the gray value of all pixels in the spectrum, h...

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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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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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