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Residual hypercomplex number dual decomposition multi-light spectrum and full-color image fusion method

A multi-spectral image, panchromatic image technology, applied in the field of multi-spectral and panchromatic image fusion, can solve the fusion result image distortion, destruction and other problems

Inactive Publication Date: 2008-07-09
FUDAN UNIV
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Problems solved by technology

This means that such a transformation destroys the specific relationship of the original image in the RGB three primary color vector space, then the fusion result image will cause distortion

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  • Residual hypercomplex number dual decomposition multi-light spectrum and full-color image fusion method
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Embodiment Construction

[0050] We used the Landsat 7 ETM+ sensor to take the multispectral image and panchromatic image of the Shanghai area on June 14, 2000 (North latitude 314460.0000N, East longitude 1215360.0000E) and the SPOT satellite image of the Hanoi area on October 26, 1995. Panchromatic images and multispectral images of TM illustrate the performance of the invention. Among them, the panchromatic image has a spatial resolution of 15m, while the multispectral image has a spatial resolution of 30m.

[0051] Since Landsat 7 ETM+ and SPOT do not provide real multispectral images with 15m resolution for comparison, in order to compare with real multispectral images with 30m resolution, we degenerate panchromatic and multispectral images to 30m and 60m, respectively. The 30m panchromatic image and the 60m multispectral image are fused, and the fusion result is compared with the 30m resolution multispectral image.

[0052] Next, the performance of the present invention is verified by simulation....

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Abstract

The invention belongs to the field of image fusion technology, in particular to a multi-spectral image and panchromatic image fusion method based on residual hypercomplex symplectic decomposition. The method comprises the following steps of : respectively constructing models of residual images of a multi-spectral image and a panchromatic image by using hypercomplex, and respectively subjecting the hypercomplex residual models of the multi-spectral image to hypercomplex symplectic decomposition along the grayscale axis direction to obtain a simplex portion containing brightness information and a perplex portion including chromaticity information. The analysis shows that the residual of the multi-spectral image with high resolution can be recovered by substituting the simplex portion obtained by decomposing the low-resolution multi-spectral image with hypercomplex residual image of a high-resolution panchromatic image, and the fusion of the multi-spectral image and the panchromatic image can be achieved by synthesizing symplectic decomposition. The simulation result shows that the invention is free of visible spectral distortion. The evaluation result of various prior image fusion methods shows that the invention is superior to HIS, PCA and wavelet transformation fusion method.

Description

technical field [0001] The invention belongs to the technical field of image fusion, and in particular relates to a multi-spectral and panchromatic image fusion method of residual super-complex Symplectic (dual) decomposition. Background technique [0002] At present, earth observation satellites provide more and more multi-spatial, multi-resolution, multi-temporal and multi-spectral images covering the same area, which are used for topographic mapping and map updating, land use classification, crop and forest classification, ice and snow / Flood disaster monitoring provides a wealth of data. To utilize these data, one needs to fuse multispectral and panchromatic images. [0003] Multispectral and Panchromatic Image Fusion Method Based on Intensity-Hue-Saturate (IHS) Transformation [1] It has become a standard process in the analysis of Earth observation images, and it can be used for fusion processing such as color enhancement and improved spatial resolution of highly corr...

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Application Information

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IPC IPC(8): G01S7/48G01S17/89G01C11/00
Inventor 杨惠娟张建秋胡波
Owner FUDAN UNIV
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