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Pansharpening using a guided image filter based on dual-scale detail extraction

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Abstract

High spatial resolution multispectral (HMS) images can provide sufficient information for researchers to analyze the potential disasters in the living environment. However, an original multispectral (MS) image is with low-space-resolution and high-spectrum-resolution, while an original panchromatic (PAN) image has the opposite property. Pansharpening aims at obtaining HMS image by retaining spectrum of the MS image and injecting details of the PAN image simultaneously. In this paper, we present a new pansharpening method. First, we use a bilateral filter (BF) to obtain the low-frequency-component (LFC) of PAN and MS images, respectively. Then the high-frequency-component (HFC) of PAN and MS images are readily obtained. Second, an adaptive intensity-hue-saturation (AIHS) based method is applied to generate the HFC of intensity. Finally, a dual-scale guided image filter (GIF) is utilized to calculate the difference between HFC of intensity and PAN to get the detail images. And then, these detail images are injected into the original MS image to achieve the HMS image. The proposed method is applied into testing various satellite data sets, and performs better effect on both visual quality and objective indictors than the existing methods.

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Acknowledgements

The research in our paper is sponsored by National Natural Science Foundation of China (Nos. 61701327, 61711540303, 61473198), also is supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) Fund, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET) Fund.

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Authors and Affiliations

  1. College of Electronics and Information Engineering, Sichuan University, Chengdu, 610064, Sichuan, China

    Lihua Jian, Xiaomin Yang & Wei Wu

  2. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea

    Awais Ahmad

  3. School of Computing Science and Engineering, VIT University, Vellore, India

    Arun Kumar Sangaiah

  4. Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea

    Gwanggil Jeon

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  1. Lihua Jian
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  2. Xiaomin Yang
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  3. Wei Wu
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  4. Awais Ahmad
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  5. Arun Kumar Sangaiah
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  6. Gwanggil Jeon
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Correspondence to Xiaomin Yang.

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Jian, L., Yang, X., Wu, W. et al. Pansharpening using a guided image filter based on dual-scale detail extraction. J Ambient Intell Human Comput 15, 1849–1863 (2024). https://doi.org/10.1007/s12652-018-0866-4

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  • DOI: https://doi.org/10.1007/s12652-018-0866-4

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