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CN101493893B - Image data fusing method - Google Patents

Image data fusing method Download PDF

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CN101493893B
CN101493893B CN2008102198435A CN200810219843A CN101493893B CN 101493893 B CN101493893 B CN 101493893B CN 2008102198435 A CN2008102198435 A CN 2008102198435A CN 200810219843 A CN200810219843 A CN 200810219843A CN 101493893 B CN101493893 B CN 101493893B
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CN101493893A (en
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邓孺孺
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Sun Yat Sen University
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Abstract

The invention discloses an adopted technical proposal, namely, an image-data fusion method. The method comprises the following steps: (1) re-sampling is conducted to a color image with low resolution to cause the size of pixels of the color image to resemble that of a black-white image with high resolution; (2) precise correction is adopted to lead the color image with low resolution and the black-white image with high resolution to be overlapped; (3) three wave bands of each pixel of the color image after re-sampling are all multiplied by a respective brightness ratio of the black-white image; and (4) a resulting image is output. The data fusion method not only completely integrates spatial information of the original black-white image and spectral information of the color image, without loss in the spectral information and differentiation in image color, but also is comparatively simple with less operation, fast processing and extremely high application value.

Description

A kind of image data fusing method
Technical field
The invention belongs to remote sensing image data integration technology field, particularly the fusion method of a kind of single band view data of higher spatial resolution and low resolution multiband remote sensing data.
Background technology
The data fusion of image is that the useful information with two or more separate sources data images is integrated on the same width of cloth image, with the process of the high quality graphic that obtains to have simultaneously multi-source image useful information.With the most use in the practical application; Also be tool using value be that panchromatic black white image or radar image and the multiband coloured image that will have higher spatial resolution merges; Make result images promptly have higher spatial rate, have the spectral information of coloured image again.This work is a kind of very important techniques in the modern remote sensing application.Present existing image data fusing method normally is converted into R, G, the synthetic coloured image of B three-primary colours the image of another kind of form; Be that master's component substitutes with high resolving power black white image or its corresponding conversion component with spatial high-frequency information with it then; Carry out inverse transformation afterwards again; Obtain existing coloured image spectral information at last, have higher spatial resolution result of information image again.Using the widest and the most representative at present is following several method:
1) the HIS conversion is merged
It is to use the extensivelyst that the HIS conversion is merged, and also is a kind of preferably data fusion method of effect.This method is that coloured image is transformed into intensity (I), color (H) and three kinds of components of saturation degree (S); Then with the high resolving power black white image necessarily handle the back with intensity (I) component of replacement coloured image, carry out inverse transformation afterwards again and be converted into R, G, B image.This method is more simple, can be more integrated the information of resolution high spatial of black white image, but certain variation has taken place in the color of original image.
2) principal component transform merges
The principal component transform fusion method is that coloured image is carried out Karhunen-Loeve transformation, replaces first component with black white image then, carries out inverse transformation again, and the image that obtains also has high spatial resolution information and chromatic information, but bigger variation has taken place color.
3) wavelet transformation merges
Wavelet transform fusion is that coloured image and higher spatial resolution black white image are all carried out wavelet transformation; The high-frequency components that obtains with the conversion of high spatial resolution black white image then replaces the respective components that the coloured image conversion obtains, and carries out inverse transformation again and obtains result images.Reduced to wavelet transform fusion the tone variation that preceding two kinds of methods produce to a certain extent, but the tone variation exists still.
Existing data fusion method gained result all makes the spectral information of coloured image that variation has taken place more or less, can not be used for quantitative Analysis after the data fusion.
Summary of the invention
The objective of the invention is to overcome above deficiency; A kind of image data fusing method efficiently is provided; The spectral information that can fully-integrated coloured image and the spatial information of black white image, the spectral information of coloured image is unaffected fully, and the fused image data still can be used for quantitative Analysis.
The technical scheme that the present invention adopted: a kind of image data fusing method may further comprise the steps:
(1) the low resolution coloured image is resampled, make its pixel size identical with the high resolving power black white image;
(2) through fine correction the low resolution coloured image is overlapped with the high resolving power black white image;
(3) three wave bands of each pixel of coloured image after the resampling are with the corresponding bright ratio that multiply by black white image;
(4) output result images.
Low resolution coloured image in the above-mentioned steps (2) and high resolving power black white image pass through fine correction locus error afterwards less than 0.2 pixel.
Brightness ratio in the above-mentioned steps (3) is the ratio of pixel brightness and high-high brightness value.The computing formula of said step (3) is:
Z kij = X kij Y ij A
In the formula: Z KijIt is K-band output image pixel value; X KijBe the original image pixel value of K-band after resampling; Y IjBe black white image pixel value; A is the maximum occurrences of black white image pixel, i, j and k be respectively image line, row number and the ripple segment number.
Data fusion method of the present invention has the following advantages:
The spatial information of 1) fully-integrated original black white image and the spectral information of coloured image, the loss of no spectral information, color of image does not morph;
2) method is simple, and operand is little far beyond other data fusion method, and processing speed is fast;
3) simple, have high practical value.
Description of drawings
Fig. 1 is the original panchromatic wave-band image of 2.5 meters resolution of SPOT satellite image of application implementation example one;
Fig. 2 is 10 meters resolution original color image of SPOT satellite image of application implementation example one;
Fig. 3 is the satellite image that carries out the application implementation example one after the data fusion with the present invention;
Fig. 4 is the original panchromatic wave-band image of 2.5 meters resolution of SPOT satellite image of application implementation example two;
Fig. 5 is 10 meters resolution original color image of SPOT satellite image of application implementation example two;
Fig. 6 is the satellite image that carries out the application implementation example two after the data fusion with the present invention.
Embodiment
Below in conjunction with accompanying drawing concrete structure of the present invention is done further to describe.
The aim of data fusion is the spatial information of integrated all high resolving power black white images and the spectral information of coloured image.The spatial information of high resolving power black white image is that the brightness value with image exists in the form of spatial diversity; The spectral information of coloured image is determined with the relative size between the brightness value of its three wave bands and three wave bands.With regard to space geometry information, than the pixel of low spatial resolution image be on the higher spatial resolution image respective area corresponding a plurality of pixels average.So the spatial information of the coloured image of low resolution is the subclass of the higher contained spatial information of black white image of resolution, the spatial information of high resolving power black white image has comprised the whole geological informations of low resolution coloured image.
Technical method of the present invention is that the low resolution coloured image is resampled, and makes its pixel size identical with the high resolving power black white image, and through fine correction it is overlapped with the high resolving power black white image.Thereafter, with the same brightness ratio that multiply by the corresponding pixel of black white image at this image of three wave bands of each pixel of coloured image after resampling, i.e. the ratio of pixel brightness and high-high brightness value, its computing formula is following:
Z kij = X kij Y ij A
In the formula: Z KijIt is K-band output image pixel value; X KijBe the original image pixel value of K-band after resampling; Y IjBe black white image pixel value; A is the maximum occurrences of black white image pixel, I, j and k be respectively image line, row number and the ripple segment number.
Result of calculation, coloured image have had all monochrome informations of high resolving power black white image, and the coloured image that obtains has just had all spatial informations of high-definition picture.And because three wave bands of coloured image multiply by identical number together, relative size does not change, and only size changes; And the single pixel of original color image in a plurality of pixels on the corresponding back image respective area that resamples, have at least the brightness value of a pixel identical with original image, promptly resulting image has also comprised all spectral informations of coloured image.So result images has comprised all spectral informations of all space geometry information of original black white image and original color image.
Below be to utilize SPOT satellite image 2.5 meters resolution panchromatic wave-band image and 10 meters application examples that the resolution coloured image merges, further introduce technique effect of the present invention:
Embodiment one:
Like Fig. 1 is the original panchromatic wave-band image with 2.5 meters resolution of SPOT satellite image, is the original color image with 10 meters resolution of SPOT satellite image like Fig. 2, and main type of ground objects is among the figure: mountain area, river, arable land, road and town dweller district.
It is as shown in Figure 3 to handle satellite image afterwards through data fusion method according to the invention; Image geometry information after the data fusion is identical with 2.5 meters original panchromatic wave-band images of resolution (Fig. 1); Color is identical with original 10 meters resolution coloured images (Fig. 2) with color like (a little difference only being arranged on display color because level of stretch is different; And the spectral information that more approaching reality after changing), has kept all original images.
Embodiment two:
Like Fig. 4 is the original panchromatic wave-band image with 2.5 meters resolution of SPOT satellite image, is the original color image with 10 meters resolution of SPOT satellite image like Fig. 5, and main type of ground objects is among the figure: mountain area, river, arable land, road and village.
It is as shown in Figure 6 to handle satellite image afterwards through data fusion method according to the invention; The same with the foregoing description; Image geometry information after the data fusion is identical with 2.5 meters original panchromatic wave-band images of resolution (Fig. 4); Color is identical seemingly with original 10 meters resolution coloured images (Fig. 5) with color, has kept the spectral information of all original images.

Claims (2)

1. an image data fusing method is characterized in that, may further comprise the steps:
(1) the low resolution coloured image is resampled, make its pixel size identical with the high resolving power black white image;
(2) through fine correction the low resolution coloured image is overlapped with the high resolving power black white image;
(3) three wave bands of each pixel of coloured image after the resampling are with the corresponding bright ratio that multiply by black white image, and its computing formula is:
Figure FSB00000490394200011
In the formula: Z KijBe K-band output image pixel value, X KijBe the original image pixel value of K-band after resampling, Y IjBe black white image pixel value, A is the maximum occurrences of black white image pixel, i, j and k be respectively image line, row number and the ripple segment number;
(4) output result images.
2. image data fusing method according to claim 1 is characterized in that, low resolution coloured image in the said step (2) and high resolving power black white image pass through fine correction locus error afterwards less than 0.2 pixel.
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US10645268B2 (en) 2016-03-09 2020-05-05 Huawei Technologies Co., Ltd. Image processing method and apparatus of terminal, and terminal
US10362205B2 (en) * 2016-04-28 2019-07-23 Qualcomm Incorporated Performing intensity equalization with respect to mono and color images
CN106570850B (en) * 2016-10-12 2019-06-04 成都西纬科技有限公司 A kind of image interfusion method
CN108605097B (en) * 2016-11-03 2020-09-08 华为技术有限公司 Optical imaging method and device
CN108198161A (en) * 2017-12-29 2018-06-22 深圳开立生物医疗科技股份有限公司 A kind of fusion method, device and the equipment of dual camera image
CN110418111A (en) * 2019-07-27 2019-11-05 上海安科迪智能科技有限公司 Ultra high-definition video signal transmission system and method in a kind of array camera
CN111638185B (en) * 2020-05-09 2022-05-17 哈尔滨工业大学 Remote sensing detection method based on unmanned aerial vehicle platform
CN113096056B (en) * 2021-04-06 2022-04-12 全景恒升(北京)科学技术有限公司 Intravascular image fusion method based on region complementation
CN117201693B (en) * 2023-11-01 2024-01-16 长春汽车工业高等专科学校 Internet of things image compression method, device, terminal equipment and medium

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