Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 19, Issue -, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2021.3098112
Keywords
Pansharpening; Correlation; Sensors; Distortion; Image sensors; Spatial resolution; Space exploration; Detail refinement; pansharpening; parameter regression; texture correction (TC)
Categories
Funding
- National Natural Science Foundation of China [62072218, 61862030]
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This letter proposes an efficient pansharpening approach based on texture correction and detail refinement to obtain high-quality high spatial resolution multispectral images. Experimental results demonstrate the high efficiency and quality of this method.
Pansharpening aims at fusing a multispectral (MS) image and panchromatic (PAN) image to obtain a high spatial resolution multispectral (HRMS) image. To obtain accurate details and reduce spectral distortion, this letter proposes an efficient pansharpening approach based on texture correction (TC) and detail refinement. First, a TC model is constructed based on spatial and spectral fidelity constraints to obtain a texture image that is highly correlated with the MS image. Second, a detail acquisition model is proposed by the consecutive parameter regression to adaptively refine the extracted details. Finally, the extracted details are injected into the up-sampled MS (UPMS) image to obtain the fused HRMS image. Experimental results demonstrate that the proposed method can obtain the high-quality results with high efficiency.
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