A System on Speckle Reduction and Quality Evaluation of Spaceborne SAR Images in IDL
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摘要: 结合星载合成孔径雷达(SAR)单视图像斑点噪声抑制技术与质量评估,并基于为科学数据可视化及数学分析提供完备计算环境的IDL(Interactive Data Language)语言,完成了在IDL环境下开发的SAR图像斑点抑制与质量评估系统,获得了高空间分辨率和高辐射分辨率的星载SAR图像.Abstract: Speckle reduction techniques and quality evaluation for one-look spaceborne synthetic aperture radar(SAR) images were integrated into one system in IDL language, which provides a complete computational environment for visualization and mathematical analysis of scientific data. With this system, high space resolution and high radiometric resolution spaceborne SAR images were obtained.
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[1] Lee J S. Speckle suppression and analysis for synthetic aperture radar images[J]. Optical Engineering, 1986, 25(5): 636~643. [2] Smith K M. Speckle reduction and segmentation of synthetic aperture radar images[J].International Journal of Remote Sensing,1996,17(11):2043~2057. [3] Nezry E, Lopes A, Touzi R. Detection of structural and textural features for SAR images filtering ． IGARSS,1991.2169~2172. [4] 李春升,燕 英,陈 杰,等.高分辨率星载SAR单视图像斑点噪声抑制实现方法 ．电子学报,2000,28(3):13~16. [5] 黄 岩.高分辨率星载合成孔径雷达成像处理技术研究 .北京:北京航空航天大学电子工程系,1999. -
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