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Improved-ratio-transformation-based all-color and high-spectral image fusion method

A hyperspectral image and fusion method technology, applied in the field of digital image processing, can solve the problems of texture detail distortion, spectral color distortion, etc., and achieve the effect of good fidelity and good adaptability

Active Publication Date: 2017-08-04
BEIHANG UNIV
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Problems solved by technology

These differences make the existing panchromatic and multispectral image fusion methods often suffer from spectral color distortion or texture detail distortion when used for panchromatic and hyperspectral image fusion.

Method used

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Embodiment Construction

[0025] The specific implementation steps of the panchromatic and hyperspectral image fusion method based on the improved ratio transformation provided by the present invention will be described in detail below in conjunction with the accompanying drawings. Such as figure 1 As shown, for the registered panchromatic and hyperspectral images, the fusion process is performed through the following steps in turn:

[0026] (1) The hyperspectral image is upsampled to the same spatial resolution as the panchromatic image by bilinear interpolation to obtain an upsampled hyperspectral image.

[0027] Suppose pixel point I k (x+u,y+v) is the pixel point I of the k-th band of the hyperspectral image k (x,y), I k (x+1,y), I k (x,y+1) and I k An interpolation point between (x+1, y+1), where 0

[0028] I k (x+u,y+v)=(1-u)(1-v)I k (x,y)+uvI k (x+1...

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Abstract

The invention discloses an improved-ratio-transformation-based all-color and high-spectral image fusion method. A high-spectral image band in an all-color image spectral response range is selected and is divided into S groups, and mean-value weighted summation is carried out to synthesize the high-spectral image bands in each group into one wave band, thereby obtaining high-spectral synthesis images of S bands; pixel elements of the high-spectral synthesis images are classified into R sub classes based on spectral linear correlation, and weighted summation is carried out on all bands in each pixel element sub class in the high-spectral synthesis images to obtain a low-resolution all-color synthesis image; and then a ratio of an all-color image to the low-resolution all-color synthesis image is calculated and ratio transformation is carried out to obtain an all-color and high-spectral image fusion image. Compared with the prior art, the method has the following beneficial effects: the spectral color and the texture detail fidelity is high; and the adaptability is high.

Description

technical field [0001] The invention relates to a remote sensing image fusion method, in particular to a panchromatic and hyperspectral image fusion method based on improved ratio transformation, and belongs to the technical field of digital image processing. Background technique [0002] The spectral resolution of hyperspectral remote sensing images is on the order of 10 nanometers. In the ultraviolet, visible, near-infrared and mid-infrared regions of the electromagnetic spectrum, ground objects are imaged simultaneously in tens to hundreds of continuous and subdivided spectral bands. The spectral information of ground features recorded by hyperspectral images is extremely rich, and it is playing an increasingly important role in fields such as mineral deposit detection, environmental and ocean monitoring, agricultural and forestry surveys, and national defense security. Although the spectral resolution of hyperspectral imagery is high, its spatial resolution is low, which...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06K9/62
CPCG06T3/4038G06T2207/20221G06T2207/10036G06F18/254
Inventor 徐其志李波邱伟星
Owner BEIHANG UNIV
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