Spectral and spatial information improvement multispectral image based on recursive full-scale estimation

Pansharpening refers to the fusion of panchromatic (Pan) image and multispectral (MS) image, which are acquired from the same scene. The output of the process is a high-spatial-resolution MS image. However, in most cases, spectral or spatial distortion occurs in the local region. To solve this probl...

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Bibliographic Details
Published in:International journal of remote sensing 2021-03, Vol.42 (6), p.2350-2375
Main Authors: Naeimi Marandi, Reza, Ghassemian, Hassan
Format: Article
Language:English
Subjects:
Coefficients
Image acquisition
Injection
Parameter estimation
Spatial data
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Summary:Pansharpening refers to the fusion of panchromatic (Pan) image and multispectral (MS) image, which are acquired from the same scene. The output of the process is a high-spatial-resolution MS image. However, in most cases, spectral or spatial distortion occurs in the local region. To solve this problem, this paper introduces a detailed injection model, where estimates the model parameters recursively at the full-scale. The proposed method estimates detailed injection coefficients by finding minimum variance-unbiased (MVU) estimator. The superiority of the proposed method is verified via conducting several experiments on the five satellite datasets and comparing the results quantitatively and visually with several existing methods.
ISSN:0143-1161
1366-5901
DOI:10.1080/01431161.2020.1851800