Acta Geodaetica et Cartographica Sinica >

2015 , Vol. 44 >Issue 8: 884 - 892

DOI: https://doi.org/10.11947/j.AGCS.2015.20140466

Remote Sensing Image Enhancement Based on Non-subsampled Shearlet Transform and Parameterized Logarithmic Image Processing Model

  • TAO Feixiang ,
  • WU Yiquan
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  • 1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. Key Laboratory of Geological Information Technology, Ministry of Land and Resources, Beijing 100037, China;
    3. Key Laboratory of Western China's Mineral Resources of Gansu Province, Lanzhou University, Lanzhou 730000, China;
    4. Jiangxi Province Key Laboratory for Digital Land, East China Institute of Technology, Nanchang 330013, China;
    5. MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China

Received date: 2014-09-10

  Revised date: 2015-04-07

  Online published: 2015-09-02

Supported by

The National Natural Science Foundation of China(No. 60872065);Open Research Fund of MLR Key Laboratory of Geological Information Technology(No. 217);Open Research Fund of Key Laboratory of Western China's Mineral Resources of Gansu Province(No. WCRMGS-2014-05);Open Research Fund of MLR Key Laboratory of Metallogeny and Mineral Assessment(No.ZS1406);Open Research Fund of Jiangxi Province Key Laboratory for Digital Land(No.DLLJ201412);The Priority Academic Program Development of Jiangsu Higher Education Institution

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Abstract

Aiming at parts of remote sensing images with dark brightness and low contrast, a remote sensing image enhancement method based on non-subsampled Shearlet transform and parameterized logarithmic image processing model is proposed in this paper to improve the visual effects and interpretability of remote sensing images. Firstly, a remote sensing image is decomposed into a low-frequency component and high frequency components by non-subsampled Shearlet transform.Then the low frequency component is enhanced according to PLIP (parameterized logarithmic image processing) model, which can improve the contrast of image, while the improved fuzzy enhancement method is used to enhance the high frequency components in order to highlight the information of edges and details. A large number of experimental results show that, compared with five kinds of image enhancement methods such as bidirectional histogram equalization method, the method based on stationary wavelet transform and the method based on non-subsampled contourlet transform, the proposed method has advantages in both subjective visual effects and objective quantitative evaluation indexes such as contrast and definition, which can more effectively improve the contrast of remote sensing image and enhance edges and texture details with better visual effects.

Key words： remote sensing image; image enhancement; non-subsampled Shearlet transform(NSST); parameters logarithmic image processing (PLIP) model; fuzzy enhancement

Cite this article

TAO Feixiang , WU Yiquan . Remote Sensing Image Enhancement Based on Non-subsampled Shearlet Transform and Parameterized Logarithmic Image Processing Model[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(8) : 884 -892 . DOI: 10.11947/j.AGCS.2015.20140466

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