A novel pansharpening method based on side window filter and new injection gain matrices.

Tianci Liu, Keyan Dong, Yansong Song, Jinwang Li, Junyao Wang, Yanbo Wang, Lei Zhang, Yuqing Li

Abstract read

In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Tianci LiuSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Keyan DongSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China. dongkeyan@cust.edu.cn.

Yansong SongSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Jinwang LiSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Junyao WangSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Yanbo WangSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Lei ZhangSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Yuqing LiSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, 130022, China.

Funding

National Key Research and Development Program of China 2021YFA0718804National Natural Science Foundation of China 62105029Natural Science Foundation of Jilin Province YDZJ202501ZYTS627Young Elite Scientists Sponsorship Program by CAST YESS20220600

6 · The paper itself

Abstract

The acquisition of remote sensing images with both high spatial resolution and high spectral resolution is constrained by limitations in spectral imaging technology. Pan-sharpening is utilized to generate high-resolution multispectral images that correspond to the resolution of panchromatic (PAN) images through the fusion of multispectral (MS) and PAN images. Traditional methods frequently encounter challenges associated with the loss of image details. This study introduces a novel multispectral image fusion method based on Side Window Filtering (SWF) and a new injected gain, termed the improved adaptive Gram-Schmidt method based on SWF (SWGSA), with an emphasis on detail preservation. Initially, side window filtering is applied to the PAN image, which not only reduces noise but also enhances edge retention, leading to a more accurate computation of weight indices. Subsequently, the injected gain is adjusted by incorporating references from the PAN image to further enhance image details. Ultimately, the fused image is produced through this process. Experimental results from the IKONOS, GeoEye-1, and WorldView-3 datasets substantiate the effectiveness of the proposed method, demonstrating a significant improvement in the quality of the fused images.

Indexed as

Component substitutionImage fusionMultispectral imagePansharpening

Identifiers

PMID40681553

DOI10.1038/s41598-025-08929-9

PMCPMC12274405

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LicenceCC BY-NC-ND

Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.