Hyperspectral image compressing and restructuring device and method

Abstract

The invention relates to hyperspectral image compressing and restructuring device and method. The method includes steps of firstly, subjecting each spectrum range of a hyperspectral image to three-level two-dimensional 9/7 integer discrete and lifting wavelet transformation; organizing wavelet coefficients to sections and blocks through CCDSD-IDC, encoding section header information and DC (direct current) coefficient initializing and AC (alternating current) coefficient depth of each block, extracting AC coefficient and residual DC coefficient bit plane simultaneously, and finally subjecting the AC coefficient and residual DC coefficient bit plane to distributed signal source encoding by a Slepian-Wolf encoder based on LDPC (low density parity check). The hyperspectral image compressing and restructuring device and method have the advantages that by adopting distributed signal source encoding strategy, complexity of the integral encoder is lowered, and the method is easy to implement through processors such as FPGA (field programmable gate array) and DSP (digital signal processor).

Description

technical field [0001] The invention relates to the field of remote sensing image compression, in particular to a hyperspectral image compression and reconstruction device and method. Background technique [0002] Remote sensing hyperspectral images are imaged by imaging spectrometers in hundreds of spectral bands of the same surface feature (spectral resolution is usually 10 -2 The three-dimensional data with spatial information and spectral information obtained by imaging on wavelength). The acquired data can improve the rich details of ground objects, and is widely used in resource exploration, military reconnaissance and environmental protection and other fields. With the continuous improvement of the spectral resolution index of imaging spectrometers, the amount of hyperspectral image data has increased sharply. The existing onboard memory capacity is limited, and the satellite channel bandwidth is limited, which cannot adapt to the massive data of hyperspectral remote...

AI Technical Summary

Problems solved by technology

[0004] The present invention solves the technical problem of how to balance the compression performance and implementation complexity of the hyperspectral compression algorithm in the prior art to be suitable for the compression of hyperspectral images, and provides a complex method that does not need to consider eliminating spectral redundancy at the encoding end. The calculation is transferred to the decoding end, that is, the distributed source coding strategy is adopted, and the CCSDS-IDC compression algorithm is perfectly integrated into the distributed source coding. Hyperspectral image compression and reconstruction device and method realized by etc.

Images