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《Chinese Journal of Radio Science》 2004-04
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Denoising algorithm of remote sensing image based on local multiple morphological structure elements

HOU Zhi-qiang HAN Chong-zhao ZHENG Lin KANG Xin (School of Electronics and Information Engineering, Xi′an Jiaotong University, Xi′an Shanxi 710049, China)  
A denoising algorithm of remote sensing image is presented in this paper. The algorithm is to firstly determine those pixels with the gray value suddenly changing. Then, total eight kinds of morphological structure elements are defined to implement the eroding operation at these pixels and complete classification of the pixels. Simulation results show that this algorithm can well remove the pulse noise in remote sensing image, meanwhile the image main details are correctly reserved. Furthermore, this algorithm is insensitive to the parameters and is applicable to many noised remote sensing images.
【Fund】: 国家重点基础研究发展规划项目 (2 0 0 1CB30 94 0 3)
【CateGory Index】: TP751
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