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Towards a partial differential equation remote sensing image method based on adaptive degradation diffusion parameter

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Abstract

For the anisotropy diffusion feature, Partial Differential Equation (PDE) methods keep edge detail characters well in case of denoising, thus being widely applied in remote sense image denoising, smoothing, filtering and reconstruction. A PDE remote sensing image denoising method based on Adaptive Degradation Diffusion Parameter (ADDP) was proposed in the paper to deal with fuzzy detail problem caused by increasing iteration number. The PDE denoising method with ADDP enlarged diffusion size in the plat region of remote sensing image without affecting the remote sensing image edge, thus avoiding loss of remote sensing image detail and intersections caused by Gaussian convolution smoothing in the PDE filtering model based on curvature-based movement (CM) and image denoising model based on total variation (TV). In the region where gradation value changes little, the method executed isotropic diffusion to remove isolated noise. The upwind scheme was applied for model numerical realization. Experimental in remote sensing image denoising results proved its feasibility and effectiveness.

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Acknowledgments

This research was financially supported by the MWR public sector research and special funds (201301103) and Ministry of Education Key Laboratory of Eco-Oasis Open Topic, China (XJDX0201-2013-07). This financial support is gratefully acknowledged and appreciated. We would also happy to thank the anonymous reviewers and editor for their review and excellent contributions towards the improvement of this manuscript.

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Authors and Affiliations

  1. School of Resources and Environment Science, Xinjiang University, Urumqi, 830046, China

    Xian-Yong Meng & Zhi-Hui Liu

  2. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China

    Xian-Yong Meng & Xiao-Nan Ji

  3. Xinjiang Uygur Autonomous Region Research Institute of Measurement & Testing, Urumqi, 830011, China

    Lei Che

  4. School of Mechanical Engineering, Xinjiang University, Urumqi, 830046, China

    Lei Che

  5. Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China

    Ning Che

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  1. Xian-Yong Meng
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Correspondence to Lei Che.

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Meng, XY., Che, L., Liu, ZH. et al. Towards a partial differential equation remote sensing image method based on adaptive degradation diffusion parameter. Multimed Tools Appl 76, 17651–17667 (2017). https://doi.org/10.1007/s11042-015-2881-1

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  • DOI: https://doi.org/10.1007/s11042-015-2881-1

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