Spatial-spectral associated prediction-based hyperspectral image lossless compression method

Abstract

The invention relates to a spatial-spectral associated prediction-based hyperspectral image lossless compression method, which comprises the following steps: conducting band combination to input hyperspectral images according to the magnitude of a spectrum correlation coefficient; selecting corresponding prediction algorithms according to different band combinations to eliminate correlation and to obtain a difference image; and conducting RICE entropy coding to the difference image to obtain a compressed code stream, storing or transmitting the compressed code stream and realizing reversible decoding locally or at other places. By adopting the method, the invention has the advantages that the spatial-spectral redundancy of the entire image can be effectively reduced, the calculated amountfor coding is reduced, no information is lost in the entire coding process, the lossless compression is realized, the lossless compression ratio of the hyperspectral image is improved, the storage resource required for image storage is reduced, the transmission bandwidth burden is reduced, the coding complexity is low, the hardware realization and the real-time transmission are facilitated and the error resilience is good.

Description

technical field [0001] The invention relates to the technical field of hyperspectral remote sensing image information processing, in particular to a hyperspectral image lossless compression method for space-spectrum joint prediction. Background technique [0002] Hyperspectral remote sensing is a new remote sensing science and technology developed in the 1980s. It combines imaging technology and spectral technology, and uses special detection instruments, such as imaging spectrometers, to receive and record electromagnetic wave signals radiated (or reflected) by distant objects, and then processed to become hyperspectral images that can be directly recognized by human eyes. data. This kind of data has spatial information and spectral information at the same time, which is conducive to better revealing the nature of the detected object and its changing law. At present, hyperspectral remote sensing technology has been widely used in military reconnaissance, environmental mon...

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Problems solved by technology

[0006] Aiming at the disadvantages of existing hyperspectral image lossless compression methods such as low compression ratio and high complexity, the present invention starts from simultaneously removing the spatial and spectral redundancy of hyperspectral images, applies 3DLMS prediction theory to hyperspectral image compression, and proposes A Lossless Compression Method for Hyperspectral Image Based on Joint Prediction of Space and Spectrum

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