雷达遥感建筑物震害信息提取方法综述
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摘要
合成孔径雷达遥感具有全天时、全天候工作的能力,在地震灾害应急中发挥了重要作用。回顾了雷达遥感建筑物震害信息提取技术的发展历史,总结了各种用于建筑物震害信息提取的雷达卫星的参数特征以及使用雷达遥感提取建筑物震害信息的震例。介绍了目前应用的各种雷达遥感建筑物震害信息提取方法,包括目视解译和计算机自动信息提取两种,其中后者包括基于纹理特征和极化特征的单时相方法、基于强度特征和相干特征的多时相方法。比较了这些方法的适用性和不足,并探讨了雷达遥感建筑物震害信息提取方法的发展趋势。
The capabilities such as weather-and-sunlight independence make synthetic aperture radar(SAR) become a powerful tool to earthquake emergency response.This paper show a summary of the parameters of the SAR systems that have been used to extract earthquake-induced building damage information,and the earthquake cases in which the SAR images have been used to monitor disaster,also gives a comprehensive introduce to all kinds of methods of extracting earthquake-induced building damage from SAR images.These methods are classified into visual interpretation and automatically information extraction by computer.The latter includes the single-temporal method with textuure and polarization features,and multi-temporal method with intensity and coherence features.All of these methods were compared to find their disadvantanges and this paper discussed the development of the methods of earthquake-induced building damage information extraction.
引文
[1]Liu Jiahang,Yang Jianfeng,Wei Chengjie,et al.Acquisition ofEarthquake Damage Information based on Remote SensingTechnology:History,Current Situation and Trend[J].Journalof Natural Disasters,2004,13(6):46-52.[柳稼航,杨建峰,魏成阶,等.震害信息遥感获取技术历史、现状和趋势[J].自然灾害学报,2004,13(6):46-52.]
    [2]Chen Xinlian.Quick Evaluation and Decision-making for Ea-rthquake Disasters by Airborne Remote Sensing Information[M].Beijing:Science Press,1995.[陈鑫连.地震灾害的航空遥感信息快速评估与救灾决策[M].北京:科学出版社,1995.]
    [3]Chen Wenkai,He Shaolin,Zhang Jingfa,et al.A Review onMethods of Extracting Earthquake Damage Information U-sing Remote Sensing Technology[J].Northwestern Seismo-logical Journal,2008,30(1):88-93.[陈文凯,何少林,张景发,等.利用遥感技术提取震害信息方法的研究进展[J].西北地震学报,2008,30(1):88-93.]
    [4]Gong Peng.Some Essential Questions in Remote Sensing Sci-ence and Technology[J].Journal of Remote Sensing,2009,13(1):13-23.[宫鹏.遥感科学与技术中的一些前沿问题[J].遥感学报,2009,13(1):13-23.]
    [5]Zhu Liang,Guo Wei,Yu Weidong.Analysis of SAR SatelliteDevelopment History and Tendency[J].Modern Radar,2009,(4):5-10.[朱良,郭巍,禹卫东.合成孔径雷达卫星发展历程及趋势分析[J].现代雷达,2009,(4):5-10.]
    [6]Guo Huadong.Radar Earth Observation Theory and Applica-tion[M].Beijing:Science Press,2000.[郭华东.雷达对地观测理论与应用[M].北京:科学出版社,2000.]
    [7]Yang Zhe,Ren Defeng.Quick Determination of Epicentral Re-gions Using Airborne Earthquake Disastrous SAR ImageCharacters[J].Seismology and Geology,1999,21(4):452-458.[杨喆,任德凤.利用机载SAR震害影像特征快速圈定极震区[J].地震地质,1999,21(4):452-458.]
    [8]Shao Yun,Gong Huaze,Wang Shi'ang,et al.Multi-source SARRemote Sensing Data for Rapid Response to WenchuanEarthquake Damage Assessment[J].Journal of Remote Sens-ing,2008,12(6):865-870.[邵芸,宫华泽,王世昂,等.多源雷达遥感数据汶川地震灾情应急监测与评价[J].遥感学报,2008,12(6):865-870.]
    [9]Wang C,Zhang H,Wu F,et al.Disaster Phenomena of Wen-chuan Earthquake in High Resolution Airborne Synthetic Ap-erture Radar Images[J].Journal of Applied Remote Sensing,2009,3:31690.
    [10]Guo H D,Li X W,Zhang L.Study of Detecting Method with Ad-vanced Airborne and Spaceborne Synthetic Aperture Radar Datafor Collapsed Urban Buildings from the Wenchuan Earthquake[J].Journal of Applied Remote Sensing,2009,3:31695.
    [11]Balz T,Liao M S.Building-damage Detection Using Post-seis-mic High-resolution SAR Satellite Data[J].InternationalJournal of Remote Sensing,2010,31(13):3369-3391.
    [12]Zhang Jixian,Huang Guoman,Liu Jiping.SAR Remote Sens-ing Monitoring of the Yushu Earthquake Disaster Situationand the Information Service System[J].Journal of RemoteSensing,2010,14(5):1046-1060.[张继贤,黄国满,刘纪平.玉树地震灾情SAR遥感监测与信息服务系统[J].遥感学报.2010,14(5):1046-1060.]
    [13]Shinozuka M,Ghanem R,Houshmand B,et al.Damage Detec-tion in Urban Areas by SAR Imagery[J].Journal of Engi-neering Mechanics,2000,7:769-777.
    [14]Wen Xiaoyang,Zhang Hong,Wang Chao.The High ResolutionSAR Image Simulation and Analysis of the Damaged Building inEarthquake[J].Journal of Remote Sensing,2009,13(1):169-176.[温晓阳,张红,王超.地震损毁建筑物的高分辨率SAR图像模拟与分析[J].遥感学报,2009,13(1):169-176.]
    [15]Liu Bintao,Tao Heping,Fan Jianrong,et al.Application ofHigh-resolution SAR Images in Wenchuan Earthquake Haz-ard Monitoring and Assessment[J].Journal of Mountain Re-search,2008,26(3):267-271.[刘斌涛,陶和平,范建容,等.高分辨率SAR数据在5.12汶川地震灾害监测与评估中的应用[J].山地学报,2008,26(3):267-271.]
    [16]Dell'Acqua F,Lisini G,Gamba P.Experiences in Optical andSAR Imagery Analysis for Damage Assessment in the Wen-chuan,May 2008Earthquake[C]//Proceedings of IEEE In-ternational Geoscience and Remote Sensing Symposium(IGARSS),Cape Town,South Africa,July 2009.
    [17]Wang X Q,Jin D J,Dou A X.Study on The Fractal Analysisof SAR Images and Its Application to the Extraction of Seis-mic Damage of 2010 Yushu,China Ms=7.1 Earthquake[C]//Proceedings of IEEE International Geoscience and Re-mote Sensing Symposium(IGARSS),Vancouver,Canada,Ju-ly 2011.
    [18]Liu Li,Kuang Gangyao.Overview of Image Textural FeatureExtraction Methods[J].Journal of Image and Graphics,2009,14(4):622-635.[刘丽,匡纲要.图像纹理特征提取方法综述[J].中国图象图形学报,2009,14(4):622-635.]
    [19]Guo Huadong,Wang Xinyuan,Li Xinwu,et al.Yushu Earth-quake Synergic Analysis Using Multimodal SAR Datasets[J].Chinese Science Bulletin,2010,55(13):1195-1199.[郭华东,王心源,李新武,等.多模式SAR玉树地震协同分析[J].科学通报,2010,55(13):1195-1199.]
    [20]Ohkura H,Jitsufuchi T,Matsumoto T,et al.Application ofSAR Data to Monitoring of Earthquake Disaster[J].Ad-vances in Space Research,1997,19(9):1429-1436.
    [21]Aoki H,Matsuoka M,Yamazaki F.Characteristics of SatelliteSAR Images in the Damaged Areas Due to the Hyogoken-Nanbu Earthquake[C]//Proceedings of the 19th Asian Con-ference of Remote Sensing,Manila,Philippines,November1998.
    [22]Zhang Jingfa,Xie Lili,Tao Xiaxin.Change Detection of Re-mote Sensing Image for Earthquake Damaged Buildings andIts Application in Seismic Disaster Assessment[J].Journal ofNatural Disasters,2002,11(2):59-64.[张景发,谢礼立,陶夏新.建筑物震害遥感图像的变化检测与震害评估[J].自然灾害学报,2002,11(2):59-64.]
    [23]Matsuoka M,Yamazaki F.Use of Satellite SAR Intensity Im-agery for Detecting Building Areas Damaged Due to Earth-quakes[J].Earthquake Spectra,2004,2(3):975-994.
    [24]Matsuoka M,Yamazaki F.Building Damage Mapping of the2003Bam,Iran,Earthquake Using Envisat/ASAR IntensityImagery[J].Earthquake Spectra,2005,21(S1):S285-S294.
    [25]Matsuoka M,Yamazaki F,Ohkura H.Damage Mapping forthe 2004 Niigata-ken Chuetsu Earthquake Using RadarsatImages[C]//2007Urban Remote Sensing Joint Event,Paris,France,2007.
    [26]Hosokawa M,Byeong-Pyo J,Takizawa O.Earthquake Inten-sity Estimation and Damage Detection Using Remote SensingData for Global Rescue Operations[C]//Proceedings of IEEEInternational Geoscience and Remote Sensing Symposium(IGARSS),Cape Town,South Africa,July 2009.
    [27]Dou Aixia.Study on Seismic Damage Change Detecting Tech-nique based on Remote Sensing Images[D].Qingdao:Shan-dong University of Science and Technology,2003.[窦爱霞.震害遥感图像变化检测技术研究[D].青岛:山东科技大学,2003.]
    [28]Yonezawa C,Takeuchi S.Detection of Urban Damage UsingInterferometric SAR Decorrelation[C]//Proceedings of IEEEInternational Geoscience and Remote Sensing Symposium(IGARSS),Hamburg,Germany,June-July 1999.
    [29]Yonezawa C,Tomiyama N,Takeuchi S.Urban Damage Detec-tion Using Decorrelation of SAR Interferometric Data[C]//Proceedings of IEEE International Geoscience and RemoteSensing Symposium(IGARSS),Toronto,Canada,June 2002.
    [30]Ito Y,Hosokawa M.A Degree-of-Damage Estimation Modelof Earthquake Damage Using Interferometric SAR Data[J].Electrical Engineering in Japan,2003,143(3):49-57.
    [31]Ito Y,Hosokawa M,Matsuoka M.A Degree Estimation Mod-el of Earthquake Damage Using Temporal Coherence Ratio[C]//Proceedings of IEEE International Geoscience and Re-mote Sensing Symposium(IGARSS),Toulouse,France,July2003.
    [32]Hosokawa M,Byeong-Pyo J.Earthquake Damage DetectionUsing Remote Sensing Data[C]//Proceedings of IEEE Inter-national Geoscience and Remote Sensing Symposium(IGARSS),Barcelona,Spain,July 2007.
    [33]Stramondo S,Bignami C,Chini M,et al.Satellite Radar andOptical Remote Sensing for Earthquake Damage Detection:Results from Different Case Studies[J].International Journalof Remote Sensing,2006,27(20):4433-4447.
    [34]Arciniegas G A,Bijker W,Kerle N,et al.Coherence and Am-plitude-based Analysis of Seismogenic Damage in Bam,Iran,Using Envisat ASAR Data[J].IEEE Transactions on Geosci-ence and Remote Sensing,2007,45(6):1571-1581.
    [35]Liu Yunhua,Qu Chunyan,Shan Xinjian,et al.Application ofSAR Data to Damage Identification of the Wenchuan Earth-quake[J].Acta Seismologica Sinica,2010,32(2):214-223.[刘云华,屈春燕,单新建,等.SAR遥感图像在汶川地震灾害识别中的应用[J].地震学报,2010,32(2):214-223.]
    [36]Gamba P,Dell'Acqua F,Trianni G.Rapid Damage Detection inthe Bam Area Using Multitemporal SAR and Exploiting An-cillary Data[J].IEEE Transactions on Geoscience and RemoteSensing,2007,45(6):1582-1589.
    [37]Chini M,Pierdicca N,Emery W J.Exploiting SAR and VHROptical Images to Quantify Damage Caused by the 2003BamEarthquake[J].IEEE Transactions on Geoscience and Re-mote Sensing,2009,47(1):145-152.
    [38]Brunner D,Lemoine G,Bruzzone L.Earthquake Damage As-sessment of Buildings Using VHR Optical and SAR Imagery[J].IEEE Transactions on Geoscience and Remote Sensing.2010,48(5):2403-2420.
    [39]Corr D G,Walker A,Benz U,et al.Classification of UrbanSAR Imagery Using Object Oriented Techniques[C]//Pro-ceedings of IEEE International Geoscience and Remote Sens-ing Symposium(IGARSS),Toulouse,France,July 2003.
    [40]Liu X G,Li Y S,Gao W,et al.Double Polarization SAR ImageClassification based on Object-oriented Technology[J].Jour-nal of Geographic Information System,2010,2:113-119.

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