测绘通报 ›› 2019, Vol. 0 ›› Issue (2): 28-31,70.doi: 10.13474/j.cnki.11-2246.2019.0038

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A denoising method of mixed noise of remote sensing image

DENG Kaiyuan1,2, REN Chao1,2, LIANG Yueji1,2, YU Zhiwen1,2   

  1. 1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China;
    2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China
  • Received:2018-06-28 Revised:2018-09-17 Online:2019-02-25 Published:2019-03-05

Abstract:

In order to weaken the influence of remote sensing image noise and improve the use value of imagery, a new combined filtering method is proposed for the mixed noise denoising of remote sensing images, namely the denoising method based on three-dimensional block matching and adaptive median filtering. The rbio3 wavelet and db20 wavelet replace the traditional three-dimensional block matching parameters. Two simulation experiments and one real remote sensing image denoising experiment are performed. The results show that this method is better than the traditional filtering method in removing the common pulse and Gaussian noise of remote sensing images.

Key words: remote sensing image denoising, 3D block matching method, adaptive median filtering, mixed noise

CLC Number: