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作 者:GAO Fei ZHANG Ye WANG Jun SUN Jinping
机构地区:[1]School of Electronic and Information Engineering, Beihang University
出 处:《Chinese Journal of Electronics》2016年第1期100-105,共6页电子学报(英文版)
基 金:supported by the National Natural Science Foundation of China(No.61071139,No.61171122,No.61471019,No.61501011);the Aeronautical Science Foundation of China(No.20142051022);the Pre-research Project(No.9140A07040515HK01009)
摘 要:S transform is a time-frequency representation which has been applied in various fields, yet suffers the problem of time and resource consumption. In order to overcome this problem and facilitate its application in image analysis, we introduce a fast algorithm for inverse twodimensional S transform. A two-dimensional S transform time-frequency filter for Synthetic aperture radar(SAR)image despeckling is proposed on the basis of this fast algorithm. Synthetic and actual SAR images are both used to quantitatively evaluate its performance. The proposed algorithm is compared with several classical algorithms with better results both in speckle noise reduction and detail preservation.S transform is a time-frequency representation which has been applied in various fields, yet suffers the problem of time and resource consumption. In order to overcome this problem and facilitate its application in image analysis, we introduce a fast algorithm for inverse twodimensional S transform. A two-dimensional S transform time-frequency filter for Synthetic aperture radar(SAR)image despeckling is proposed on the basis of this fast algorithm. Synthetic and actual SAR images are both used to quantitatively evaluate its performance. The proposed algorithm is compared with several classical algorithms with better results both in speckle noise reduction and detail preservation.
关 键 词:Time-frequency representation Fast al-gorithm Two-dimensional S transform Time-frequencyfilter Synthetic aperture radar (SAR) image Speckle noisereduction.
分 类 号:TN957.52[电子电信—信号与信息处理]
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