Spectrum-space dimension combined hyperspectral image lossless compression method and system

Abstract

The invention discloses a spectral-spatial dimension combined hyperspectral image lossless compression method and system. The method comprises the steps: firstly carrying out the preprocessing of an original hyperspectral image, and correcting a nonlinear factor caused by an imaging instrument; reversible integer transformation is performed on the preprocessed hyperspectral image, and inter-spectral correlation is removed; calculating an image uniformity index of the hyperspectral image after reversible integer transformation channel by channel; encoding a uniform image channel by adopting anFILF compressor, and switching an image channel with poor uniformity to an arithmetic encoder for encoding; decoding is carried out in a corresponding decoding mode, spectral correlation is removed, reversible integer inverse transformation is carried out on the image with the spectral correlation removed, and an original hyperspectral image before compression is recovered. According to the method, the spectral correlation of the hyperspectral image is removed by performing reversible integer transformation on the hyperspectral image, so that the information entropy of original data is reduced, the redundant information between spectrums is removed, a high compression ratio is obtained by adopting FILF compression encoding, and the compression speed is increased by adopting a simple arithmetic encoder.

Description

Technical field [0001] The invention belongs to the field of image processing, and more specifically, relates to a method and system for lossless compression of hyperspectral images combined with spectrum and space dimensions. Background technique [0002] The spectral resolution of hyperspectral remote sensing reaches the nanometer level, and there are as many as tens to hundreds of bands in the visible light to near short-wave infrared spectrum. The higher spectral resolution enables hyperspectral images to provide more detailed detailed information of ground features, and has been widely used in the fields of geological survey, mineral deposit detection, precision agricultural marine remote sensing, environmental and disaster monitoring, and military reconnaissance. In the development of hyperspectral remote sensing technology, with the continuous improvement of spectral resolution and spatial resolution, the amount of data acquired by imaging spectrometers has expanded dramat...

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Problems solved by technology

[0005] Aiming at the defects of the prior art, the purpose of the present invention is to provide a hyperspectral image lossless compression method and system combining spectrum-spatial dimensions, aiming to solve the problem of FILF in the field of visible light images still being used in the hyperspectral image data lossless compression technology. Compression system, so that it is impossible to remove the strong interspectral correlation of hyperspectral images, resulting in the problem of limited compression performance

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