基于稀疏特征的SAR影像质量提高方法
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摘要
针对合成孔径雷达(SAR)数据分布的尖峰性和重尾性,通过研究SAR影像强度的分布规律,提出了基于稀疏特征的SAR影像质量提高方法。首先对SAR影像的基础数据进行压缩分布处理和稀疏先验分布处理,得到质量较好的灰度影像;再利用基于模糊理论的SAR影像对比度增强算法增强了SAR影像的自适应对比度,大幅提升SAR影像的显示效果;最后利用实测数据验证了该方法的有效性。
Aiming at the spikes and heavy tailed features of SAR data distribution, according to the distribution rules of SAR image intensity, we presented a SAR image quality improvement method based on sparse feature in this paper. Firstly, we made the compress distribution processing and the sparse prior distribution processing for the SAR image basic data to obtain the gray-scale images with good quality. Then, we used SAR image contrast enhancement algorithm based on fuzzy theory to enhance the contrast of SAR images, which could improve the SAR image display effect significantly. Finally, we used the measured data to verify this method.
Aiming at the spikes and heavy tailed features of SAR data distribution, according to the distribution rules of SAR image intensity, we presented a SAR image quality improvement method based on sparse feature in this paper. Firstly, we made the compress distribution processing and the sparse prior distribution processing for the SAR image basic data to obtain the gray-scale images with good quality. Then, we used SAR image contrast enhancement algorithm based on fuzzy theory to enhance the contrast of SAR images, which could improve the SAR image display effect significantly. Finally, we used the measured data to verify this method.
引文
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[2]袁孝康.星载合成孔径雷达导论[M].北京:国防工业出版社,2003:7-9
[3]Oliver C,Quegan S.Understanding Synthetic Aperture Radar Images[M].SciTech Publishing,2004:89-92
[4]Prickett M J.Principles of Inverse Synthetic Aperture Radar/ISAR/Imaging[J].IEEE Eascon Record,1980(1):340-345
[5]刘永坦.雷达成像技术[M].哈尔滨:哈尔滨工业大学出版社,2014:124-128
[6]保铮,邢孟道,王彤.雷达成像技术[M].北京:电子工业出版社,2005:92-94
[7]SUN C C,RUAN S J,Shie M C,et al.Dnamic Contrast Enhancement Based on Histogram Specification[J].IEEETransactions on Consumer Electronics,2005,51(4):1 300-1 305
[8]Yoon J H,Ro Y M.Enhancement of the Contrast in Mammographic Images Using the Homomorphic Filter Method[J].Ieice Transactions on Information and Systems,2002,85(1):298-303
[9]汤国安.遥感数字图像处理[M].北京:科学出版社,2004:75-77
[10]Pizer S M,Amburn E P,Austin J D,et al.Adaptive Histogram Equalization and Its Variations[J].Computer Vision Graphics and Image Processing,1987,39(3):355-368
[11]赵侠,朱炬波,王正明,等.图像域正则化特征增强SAR成像方法[J].雷达科学与技术,2003(4):237-241
[12]Ulaby F T,Kouyate F,Brisco B,et al.Texture Information in SARImages[J].IEEE Transactions on Geoscience and Remote Sensing,1986(GE-24):234-235
[13]Frery A C,Muller H J,Yannasse C C F,et al.A Model for Extremely Heterogeneous Clutter[J].IEEE Transactions on Geoscience and Remote Sensing,1997,35(3):648-659
[14]Hanmandlu M,Jha D.An Optimal Fuzzy System for Color Image Enhancement[J].IEEE Transaction on Image Processing,2006,15(10):2 956-2 966
[15]Hanmandlu M,Tandon S N,Mir A H.A New Fuzzy Logic Based Image Enhancement[J].Biomedical Sciences Instrumentation,1997(34):590-595