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Asymmetrical wavelet-base based hyper-spectral image wavelet compression method and device thereof

A technology of hyperspectral image and compression method, which is applied in the field of hyperspectral image wavelet compression, can solve the problems that wavelet transform cannot achieve the best matching, etc., and achieve the effects of increasing computational complexity, restoring image quality, and improving compression performance

Inactive Publication Date: 2009-09-09
BEIHANG UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to propose a hyperspectral image wavelet compression method and device based on an asymmetric wavelet base, aiming at the problem that the traditional wavelet transform cannot achieve optimal matching due to the obvious differences in the characteristics of hyperspectral images in different dimensions.

Method used

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  • Asymmetrical wavelet-base based hyper-spectral image wavelet compression method and device thereof
  • Asymmetrical wavelet-base based hyper-spectral image wavelet compression method and device thereof
  • Asymmetrical wavelet-base based hyper-spectral image wavelet compression method and device thereof

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Embodiment

[0095] Embodiment: The test image selects the fourth image of the Cuprite terrain Radiance class in the standard hyperspectral image library of AVIRIS. In terms of wavelet bases, the most representative biorthogonal wavelet bases are selected: wavelet bases (9-7 wavelet, 13-11 wavelet) with relatively close filter lengths, biorthogonal spline wavelets (9-3 wavelet, 5-3 wavelet), near-orthogonal 5-7 wavelet, wavelet base 12-4 wavelet.

[0096] Step (a): first select and evaluate the wavelet base for the hyperspectral image to be compressed. The wavelet base to be tested is tested by five indicators: entropy, coding gain, quantization error sensitivity, energy concentration characteristics, and energy distribution characteristics. Optimal wavelet basis for spectral and spatial dimensions.

[0097] In order to make the wavelet coefficients reflect the characteristics of the wavelet basis in essence, the wavelet transform of the decoupling structure adopts symmetric period contin...

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Abstract

The invention discloses an asymmetrical wavelet-base based hyper-spectral image wavelet compression method and a device thereof. The device consists of a wavelet base selection and evaluation module, an asymmetrical wavelet transformation module, a wavelet coding module, a compression data transmission and storage module, a wavelet decoding module and an asymmetrical wavelet reverse transformation module. Based on a decoupling wavelet transformation structure, the method respectively adopts different wavelet bases for transforming spectral dimension and spatial dimension data and adopts a dimension-reduced wavelet base selection and evaluation mechanism to confirm the optimal wavelet base for the spectral dimension and spatial dimension of hyper-spectral image. The method and the device provided by the invention can strengthen the coefficient characteristics after wavelet transformation and then improve the compression performance of wavelet coding. Compared with the traditional wavelet transformation, the wavelet compression based on asymmetrical wavelet base and asymmetrical structure can not add calculation complexity or affect the expansibility after compression.

Description

technical field [0001] The invention relates to a hyperspectral image wavelet compression method and device based on an asymmetric wavelet base, belonging to the field of remote sensing signal processing. Background technique [0002] One of the most important developments in the field of photoelectric detection in the 1980s was the rise of hyperspectral detection methods. At present, hyperspectral technology is one of the most important development directions and the main data source in the field of remote sensing technology in the 21st century. Hyperspectral image is an imaging spectrum technology formed by the cross-fusion of spectroscopy and imaging technology. In the ultraviolet, visible, near-infrared and mid-infrared regions of the electromagnetic spectrum, the spectrally continuous image data is obtained. The spectral measurement of a large number of earth surface materials shows that different objects will show different spectral reflection and radiation characteri...

Claims

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Application Information

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IPC IPC(8): G06T9/00H04N7/26H04N19/122H04N19/63
Inventor 张晓林陈雷杨维松
Owner BEIHANG UNIV
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