A method for evaluating fusion quality of remote sensing images is provided

A technology of remote sensing image fusion and quality evaluation, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of different fusion effects, difficulty in object recognition, lack of subjective evaluation library for panchromatic multispectral fusion images, etc.

Active Publication Date: 2019-01-11
苏州深蓝空间遥感技术有限公司 +1
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However, different fusion methods have different fusion effects on different panchromatic images and multispectral images. How to evaluate the quality of the fused image is a problem that needs to be solved at present.
[0003] At present, there are two main problems in the field of remote sensing panchromatic multispectral fusion image quality evaluation: (1) There is a lack of subjective evaluation database for panchromatic multispectral fusion i

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  • A method for evaluating fusion quality of remote sensing images is provided

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Embodiment Construction

[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0039] A remote sensing image fusion quality evaluation method proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes two processes of training phase and testing phase;

[0040] The specific steps of the described training phase process are as follows:

[0041] ①_1. Select N original undistorted multispectral images with a width of W and a height of H. Each original undistorted multispectral image includes red band images, green band images, blue band images, and near-infrared band images. The red-band images, green-band images, blue-band images, and near-infrared band images of u original undistorted multispectral images are denoted as R u , G u , B u , NIR u ; Wherein, N>1, N=100 in this implementation, u is a positive integer, 1≤u≤N.

[0042] ①_2. Calculate the normalized ...

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Abstract

A method for evaluating fusion quality of remote sensing images is provided. Considering the influence of spectral domain distortion and spatial domain distortion on the image quality of remote sensing fusion, the method extracts red-band images, green-band images, blue-band images, near infrared-band images, normalized vegetation index images, normalized difference water index images, and road and building index images, and the original multivariate Gaussian model of training sample set is constructed by extracting statistical eigenvectors of all sub-blocks. In the test phase, by acquiring the original multivariate Gaussian model of test sample set composed of test remote sensing fusion images, according to the original multivariate Gaussian model constructed in the training stage, the objective quality evaluation prediction value of the test remote sensing fusion image is predicted. Because the statistical feature vector information obtained can reflect the quality change of the remote sensing fusion image, the correlation between the objective evaluation result and the subjective perception is effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a remote sensing image fusion quality evaluation method. Background technique [0002] Panchromatic multispectral fusion is a research hotspot in the field of remote sensing image fusion. Multispectral images usually have low spatial resolution, while panchromatic images usually have high spatial resolution but lack spectral information. The purpose of panchromatic multispectral fusion is to fuse the spatial information of panchromatic images into multispectral images to obtain multispectral images with high spatial resolution. However, different fusion methods have different fusion effects on different panchromatic images and multispectral images. How to evaluate the quality of the fused images is a problem that needs to be solved at present. [0003] At present, there are two main problems in the field of remote sensing panchromatic multispectral fusion image quality eval...

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Application Information

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IPC IPC(8): G06T7/00G06T7/90
CPCG06T7/0002G06T2207/10036G06T2207/10041G06T2207/20081G06T2207/20221G06T2207/30168G06T7/90
Inventor 邵枫周炳忠李福翠
Owner 苏州深蓝空间遥感技术有限公司
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