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

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...

AI Technical Summary

Problems solved by technology

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 images, and the existing objective quality evaluation methods cannot be measured by comparing human subjective evaluations Effect

(2) The problem of spectral domain distortion is difficult to measure with no-reference evaluation methods, and too serious spectral domain distortion may lead to difficulties in object recognition. Therefore, measuring spectral domain distortion is a problem that must be solved to evaluate the quality of fusion images

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