YUV Color Model-Based Adaptive Pansharpening with Lanczos Interpolation and Spectral Weights

Shavkat Fazilov, Ozod Yusupov (), Erali Eshonqulov (), Khabiba Abdieva and Ziyodullo Malikov
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Shavkat Fazilov: Digital Technologies and Artificial Intelligence Research Institute, Tashkent 100125, Uzbekistan
Ozod Yusupov: Department of Software Engineering, Samarkand State University Named After Sharof Rashidov, Samarkand 140104, Uzbekistan
Erali Eshonqulov: Department of Software Engineering, Samarkand State University Named After Sharof Rashidov, Samarkand 140104, Uzbekistan
Khabiba Abdieva: Department of Software Engineering, Samarkand State University Named After Sharof Rashidov, Samarkand 140104, Uzbekistan
Ziyodullo Malikov: Department of Software Engineering, Samarkand State University Named After Sharof Rashidov, Samarkand 140104, Uzbekistan

Mathematics, 2025, vol. 13, issue 17, 1-23

Abstract: Pansharpening is a method of image fusion that combines a panchromatic (PAN) image with high spatial resolution and multispectral (MS) images which possess different spectral characteristics and are frequently obtained from satellite sensors. Despite the development of numerous pansharpening methods in recent years, a key challenge continues to be the maintenance of both spatial details and spectral accuracy in the combined image. To tackle this challenge, we introduce a new approach that enhances the component substitution-based Adaptive IHS method by integrating the YUV color model along with weighting coefficients influenced by the multispectral data. In our proposed approach, the conventional IHS color model is substituted with the YUV model to enhance spectral consistency. Additionally, Lanczos interpolation is used to upscale the MS image to match the spatial resolution of the PAN image. Each channel of the MS image is fused using adaptive weights derived from the influence of multispectral data, leading to the final pansharpened image. Based on the findings from experiments conducted on the PairMax and PanCollection datasets, our proposed method exhibited superior spectral and spatial performance when compared to several existing pansharpening techniques.

Keywords: remote sensing; pansharpening; Lanczos interpolation; component substitution; YUV model; IHS; image upscaling (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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