城市目标高分辨率SAR遥感监测技术研究进展
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摘要
高空间分辨率SAR卫星为城市监测提供了宝贵数据源。在高分辨率SAR图像上,目标的多维特征得以体现,可以大大提高对城市目标的识别能力。但由于城市目标的复杂性、密集建筑物间电磁波的多次散射,以及SAR成像固有的几何畸变与噪声的影响,使得城市目标在高分辨率SAR图像上的特征更为复杂。围绕城市目标电磁散射特性与SAR成像机理、城市目标精细结构提取与三维重建等内容,介绍了国内外相关的研究进展,指出了该领域未来的研究方向。
High-resolution Synthetic Aperture Radar(SAR) satellites will provide valuable data for urban area monitoring and promote the identification of urban targets greatly,because targets take on multi-dimension characteristics in high-resolution SAR images.Nevertheless,urban targets become very complicated in high-resolution SAR images due to the spatial complexity of urban targets,multi-bounce scattering between adjacent targets,as well as the inherent geometric distortions and speckle noises of SAR imaging.In this paper,literature was reviewed surrounding electromagnetic scattering and SAR imaging mechanisms,fine structure extraction and 3D reconstruction of urban targets,and future research focus of this domain was analyzed.
High-resolution Synthetic Aperture Radar(SAR) satellites will provide valuable data for urban area monitoring and promote the identification of urban targets greatly,because targets take on multi-dimension characteristics in high-resolution SAR images.Nevertheless,urban targets become very complicated in high-resolution SAR images due to the spatial complexity of urban targets,multi-bounce scattering between adjacent targets,as well as the inherent geometric distortions and speckle noises of SAR imaging.In this paper,literature was reviewed surrounding electromagnetic scattering and SAR imaging mechanisms,fine structure extraction and 3D reconstruction of urban targets,and future research focus of this domain was analyzed.
引文
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[27]Simonetto E,Oriot H,Garello R.Extraction of Industrial Str-uctures and DEM from Airborne SAR Images[C]//Proceed-ings of Physics in Signal and Image Processing 2001.Mar-seilles,France,2001,412-417.
[28]Michaelsen E,S rgel U,Stilla U.Grouping Salient Scatterersin InSAR Data for Recognition of Industrial Buildings[C]//Proceedings of 16th International Conference on Pattern Rec-ognition 2002.Quebec City,Canada,2002,2:613-616.
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[30]Tupin F,Roux M.Detection of Building Outlines Based on theFusion of SAR and Optical Features[J].ISPRS Journal ofPhotogrammetry and Remote Sensing,2003,58:71-82.
[31]Brunner D,Bruzzone L,Ferro A,et al.Analysis of the Relia-bility of the Double Bounce Scattering Mechanism for Detec-ting Buildings in VHR SAR Images[C]//Proceedings of theIEEE Radar Conference(RadarCon09).Pasadena,USA,2009.
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[33]Xu F,Jin Y Q.Automatic Reconstruction of Building Objectsfrom Multiaspect Meter-resolution SAR Images[J].IEEETransactions on Geoscience and Remote Sensing,2007,45(7):2336-2353.
[34]S rgel U,Schulz K,Th nnessen U,et al.3D-Visualization ofInterferometric SAR Data[C]//Proceedings of EuropeanConference on Synthetic Aperture Radar(EUSAR 2000).Munich,Germany,2000,305-307.
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[36]Guillaso S,Laurent F,Andreas R,et al.Building Characteriza-tion Using L-Band Polarimetric Interferometric SAR Data[J].IEEE Geoscience and Remote Sensing Letters,2005,2(3):347-351.
[37]Zhao Lingjun,Kuang Gangyao.A Watershed-based Automat-ic Building Detection in High Resolution Airborne UrbanSAR Images[J].Journal of Electronics&Information Tech-nology,2008,30(10):2325-2328.[赵凌君,匡纲要.基于分水岭变换的高分辨率机载城区SAR图像建筑物自动检测方法[J].电子与信息学报,2008,30(10):2325-2328.]
[38]Michaelsen E,Soergel U,Thoennessen U.Perceptual Group-ing for Automatic Detection of Man-made Structures in High-resolution SAR Data[J].Pattern Recognition Letters,2006,27(4):218-225.
[39]Negri M,Gamba P,Lisini G,et al.Junction-aware Extractionand Regularization of Urban Road Networks in High Resolu-tion SAR Images[J].IEEE Transactions on Geoscience andRemote Sensing,2006,44(10):2962-2971.
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[41]Gamba P,Dell Acqua F,Lisini G.Improving Urban Road Ex-traction in High Resolution Images Exploiting Directional Fil-tering,Perceptual Grouping,and Simple Topological Concepts[J].IEEE Geoscience and Remote Sensing Letters,2006,3(3):387-391.
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