Remote sensing image fusion quality evaluation method

A remote sensing image fusion and quality evaluation technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as different fusion effects

Pending Publication Date: 2020-09-18
NINGBO UNIV
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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 technical problem that needs to be solved at present.

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  • Remote sensing image fusion quality evaluation method

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] 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.

[0046] The specific steps of the described training phase process are as follows:

[0047] Step ①_1. Select N original multispectral images with a width of W and a height of H. Each original multispectral image contains B different band images, and the γ-th band image of the uth original multispectral image recorded as The first band image of the u-th original multispectral image is the band image of the red band, the second band image of the uth original multispectral image is the band image of the green band, the third band image of the uth original multispectral image is the band image of the blue band...

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Abstract

The invention discloses a remote sensing image fusion quality evaluation method, which comprises the steps of extracting LBP feature statistical histograms, edge histograms and spectral features of sub-blocks in different waveband images as feature vectors, and constructing an original multivariate Gaussian model in a training stage; in the test stage, constructing original multivariate Gaussian models in the test stage, and calculating a full-resolution quality evaluation prediction value according to the two original multivariate Gaussian models constructed during training and testing; calculating spectral similarity and spatial similarity between all waveband images of the multispectral image referred by the test remote sensing fusion image and downsampling waveband images obtained after downsampling operation is carried out on all waveband images of the test remote sensing fusion image, and obtaining a resolution reduction quality evaluation prediction value; and obtaining an objective quality evaluation prediction value. Due to the fact that the obtained feature vector information can well reflect the quality change condition of the remote sensing fusion image, the correlationbetween an objective evaluation result and human eye 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 technical problem that needs to be solved at present. [0003] At present, in the field of panchromatic multispectral fusion image quality assessment, there are mainly the foll...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13
CPCG06T7/0002G06T7/13G06T2207/10032G06T2207/20081G06T2207/30168
Inventor 邵枫包科迪
Owner NINGBO UNIV
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