| 高分二号卫星影像自适应模糊阈值法小波去噪 |
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| 引用本文： | 张宇航,杨武年,任金铜,邓晓宇.高分二号卫星影像自适应模糊阈值法小波去噪[J].测绘通报,2019,0(3):32-35. |
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| 作者姓名： | 张宇航 杨武年 任金铜 邓晓宇 |
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| 作者单位： | 成都理工大学国土资源部地学空间信息技术重点实验室,四川 成都,610059;成都理工大学国土资源部地学空间信息技术重点实验室,四川 成都610059;贵州工程应用技术学院贵州省教育厅生物资源开发与生态修复特色重点实验室,贵州 毕节551700 |
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| 基金项目： | 国家自然科学基金（41671432；41372340） |
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| 摘 要： | 高分二号卫星影像提供了丰富的图像信息，高分二号影像数据的发布打破了我国高分辨率对地观测数据长期依赖进口的局面。但是图像在传输和保存过程中会有噪声干扰，如果感兴趣区域受到污染，则会导致该区域内的影像信息不能被充分利用。为了解决高分二号遥感影像去噪这一难题，本文采用自适应模糊阈值法去噪方式，该方法根据各个尺度下噪声方差建立的自适应模糊阈值函数非线性处理后，重新构造作为新的小波系数，经小波逆变换后得到去噪图像。通过与均值滤波器滤波、高斯平滑滤波、中值滤波器滤波、小波全局阈值去噪和Birge-Massart策略阈值法去噪比较，结果表明，自适应模糊阈值去噪法充分结合软硬阈值处理方式的优点，既保留图像细节又使图像更加平滑，图像整体信息完好，去噪效果更为理想。
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| 关 键 词： | 遥感 高分二号卫星 小波分析 自适应阈值 图像去噪 |
| 收稿时间： | 2018-05-15 |
| 修稿时间： | 2018-06-27 |
Adaptive fuzzy threshold method wavelet denoising of GF-2 satellite image |
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| ZHANG Yuhang,YANG Wunian,REN Jintong,DENG Xiaoyu.Adaptive fuzzy threshold method wavelet denoising of GF-2 satellite image[J].Bulletin of Surveying and Mapping,2019,0(3):32-35. |
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| Authors: | ZHANG Yuhang YANG Wunian REN Jintong DENG Xiaoyu |
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| Institution: | 1. Key Laboratory of Geoscience Spatial Information Technology of Ministry of Land and Resources, Chengdu University of Technology, Chengdu 610059, China;2. Key Laboratory of Bioresource Development and Ecological Restoration of Guizhou Provincial Department of Education, Guizhou University of Engineering Science, Bijie 551700, China |
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| Abstract: | GF-2 satellite images provide abundant image information,and the releasing of high-resolution image data has broken the long-term dependence of China's high resolution data on land observation.However,the image can be disturbed in the process of transmission and preservation,and if the area of interest is polluted,the image information in the region cannot be fully used.In order to solve the difficult problem of the GF-2 remote sensing image denoising,this paper adopts adaptive fuzzy threshold denoising methods,which is based on various scales noise variance adaptive fuzzy threshold function of nonlinear processing,restructuring as a new wavelet coefficients,the denoised image is obtained by inverse transformation of the wavelet.Compared with average filtering,gaussian smoothing filter,median filter,filtering,wavelet threshold denoising and Birge-Massart strategy denoising threshold value method,the results show that the adaptive fuzzy threshold denoising method is fully combined with hard and soft threshold processing method that both retains the image details and makes the image more smooth.The image that is denoised by this method can preserve overall information,the denoising effect is highly desirable. |
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| Keywords: | remote sensing GF-2 satellite wavelet analysis adaptive threshold image denoising |
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