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遥感技术与应用  2012, Vol. 27 Issue (6): 904-911    DOI: 10.11873/j.issn.1004-0323.2012.6.904
模型与反演     
合成孔径雷达数据减灾应用潜力研究综述
张薇1,2,杨思全1,2,王磊1,2,李岩3
(1.民政部国家减灾中心,北京 100124;2.民政部卫星减灾应用中心,北京 100124;
3.北京空间飞行器总体设计部,北京 100094)
Review on Disaster Reduction Application Potentiality of Synthetic Aperture Radar
Zhang Wei1,2,Yang Siquan1,2,Wang Lei1,2,Li Yan3
(1.National Disaster Reduction Center of China,Ministry of Civil Affairs of the Peoples Republic of China,Beijing 100124,China;2.Satellite Disaster Reduction Application Center,Ministry of Civil Affairs of the Peoples Republic of China,Beijing 100124,China;3.Beijing Institute of Spacecraft System Engineering,Beijing 100094,China )
 全文: PDF(1029 KB)  
摘要:

合成孔径雷达SAR(Synthetic Aperture Radar)技术是一种主动的对地观测技术,已在国内外减灾领域得到了广泛的应用。环境减灾HJ-1C SAR卫星是我国第一颗民用SAR卫星,也是我国第一颗用于减灾救灾领域的SAR卫星,已于2012年11月19日发射成功。在HJ\|1C SAR卫星发射前,从SAR技术特点出发,分别分析了单极化、多极化、干涉、极化干涉SAR数据在灾害预警监测评估领域的应用现状及潜力。对于推动利用SAR技术进行灾害监测预警业务体系向更深层面发展,推动高级空间技术在减灾领域的应用,以及推动我国在灾害监测预警领域的SAR卫星星座的建设具有重要意义。

关键词: 合成孔径雷达(SAR)减灾遥感监测    
Abstract:

Synthetic Aperture Radar(SAR)is an active earth observation technology,has been widely used in disaster reduction field at home and abroad.“Environment and disaster monitoring and prediction small satellite constellation” of HJ-1C is the first civil SAR satellite,and is the first satellite used for disaster reduction and relief field in china,has been lauched successfully on November 19,2012.Before launching,from the SAR technical characteristics,this paper analyzes the application situation and potentiality of SAR data divided into single-polarization SAR,multi-polarization SAR,Interferometric SAR and Polarimetric SAR Interferometry.This study has important significance in promoting deeper development of disaster monitoring and warning business system by SAR technique,driving application of high space technique and pushing forward SAR satellite constellation construction of disaster monitoring and warning field in China.

Key words: Synthetic Aperture Radar(SAR)    Disaster reduction    Remote sensing monitoring
收稿日期: 2011-11-23 出版日期: 2013-06-25
:  TN 958  
基金资助:

植被覆盖地区微波辐射计土壤水分反演算法及旱灾监测应用研究,C波段SAR减灾应用能力评价和灾害特征信息提取技术研究。

作者简介: 张薇(1980-),女,博士,助理研究员,主要从事干涉合成孔径雷达信号处理和合成孔径雷达在减灾领域的应用研究。Email:zhangwei@ndrcc.gov.cn。
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引用本文:

张薇,杨思全,王磊,李岩. 合成孔径雷达数据减灾应用潜力研究综述[J]. 遥感技术与应用, 2012, 27(6): 904-911.

Zhang Wei,Yang Siquan,Wang Lei,Li Yan. Review on Disaster Reduction Application Potentiality of Synthetic Aperture Radar. Remote Sensing Technology and Application, 2012, 27(6): 904-911.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2012.6.904        http://www.rsta.ac.cn/CN/Y2012/V27/I6/904

[1]Cumming I G,Wang F H,Hong Wen,et al.Digital Processing of Synthetic Aperture Radar Data:Algorithms and Implemntation[M].Beijing:Publishing House of Electronics Industry,2007.[Cumming I G,Wang F H,著,洪文,等译.合成孔径雷达成像—算法与实现[M].北京:电子工业出版社,2007.]

[2]Zhang Junrong,Wang Liwei,Zhang Dehai.The Microwave Dielectric Constant of Canopy and Soil[J].Remote Sensing Technology and Application,1995,10(3):40-50.[张俊荣,王丽巍,张德海.植被和土壤的微波介电常数[J].遥感技术与应用,1995,10(3):40-50.]

[3]Gao Feng,Wang Jiemin,Sun Chengquan,et  al.Advances in Study on Microwave Remote Sensing of Soil Moisture[J].Remote Sensing Technology and Application,2001,16(2):97-102.[高峰,王介民,孙成权,等.微波遥感土壤湿度研究进展[J].遥感技术与应用,2001,16(2):97-102.]

[4]Zhong Ruofei,Guo Huadong,Wang Weimin.Overview of Soil Moisture Retrieval from Passive Microwave Remote Sensing[J].Remote Sensing Technology and Application,2005,20(1):49-57.[钟若飞,郭华东,王为民.被动微波遥感反演土壤水分进展研究[J].遥感技术与应用,2005,20(1):49-57.]

[5]Dong Yanfang,Sun Guoqing,Pang Yong.Rice Detection based on Envisat ASAR[J].Science in China(Series D),2005,35(7):682-689.[董彦芳,孙国清,庞勇.基于Envisat ASAR数据的水稻检测[J].中国科学(D辑),2005,35(7):682-689.

[6]Dong Y F,Sun G Q,Pang Y.Monitoring of Ricecroop Using Envisat ASAR Data[J].Science in China(Series D):Earth Sciences,2006,49(7):755-763.

[7]Zhou Peng,Ding Jianli,Gao Tingting.A Study on Soil Moisture Retrieval by C-band Multi-polarization SAR[J].Xinjiang Agricultural Sciences,2010,47(7):1416-1420.[周鹏,丁建丽,高婷婷.C波段多极化SAR反演土壤水分研究[J].新疆农业科学,2010,47(7):1416-1420.]

[8]Zhang Tangtang,Wen Jun,Rogier Vander V,et al.Soil Moisture Retrieval based on Envisat/ASAR Data[J].Plateau Meteorology,2008,27(2):279-285.[张堂堂,文军,Rogier Vander V,等.基于Envisat/ASAR资料的土壤湿度反演方法[J].高原气象,2008,27(2):279-285.]

[9]Chen Quan,Li Zhen,Wang Lei.An Analysis of Applying S-band SAR of HJ-1 C to Soil Moisture Change Retrieval[J].Remote Sensing For Land & Resources,2005,64(2):12-15.[陈权,李震,王磊.环境小卫星S波段SAR监测土壤水分变化应用分析[J].国土资源遥感,2005,64(2):12-15.]

[10]Wei Xiaolan,Li Zhen,Chen Quan.The Simulating Analysis and Validation of Soil Moisture Retrieval Using S-band Radar[J].Geo-information Science,2008,10(1):97-108.[魏小兰,李震,陈权.S波段雷达数据反演土壤水分的模拟分析和验证[J].地球信息科学,2008,10(1):97-108.]

[11]Shao Yun,Guo Huadong,Fan Xiangtao,et al.Studies on Rice Backscatter Signatures in Time Domain and Its Applications[J].Journal of Remote Sensing,2001,5(5):340-345.[邵芸,郭华东,范湘涛,等.水稻时域散射特征分析及其应用研究[J].遥感学报,2001,5(5):340-345.]

[12]Shao Yun,Liao Jingjuan,Fan Xiangtao,et al.Analysis on Rice Backscatter Signatures in Time Domain:Comparison between Radarsat-SAR Observation and Simulated Model Results[J].Journal of Remote Sensing,2002,6(6):440-450.[邵芸,廖静娟,范湘涛,等.水稻时域后向散射特性分析:雷达卫星观测与模型模拟结果对比[J].遥感学报,2002,6(6):440-450.]

[13]Li Yan,Peng Shaolin,Liao Qifang,et al.Rice Yield Estimation in Regional Scale by Using Radarsat SNB SAR Images[J].Advance in Earth Sciences,2003,18(1):109-115.[李岩,彭少麟,廖其芳,等.Radarsat SNB SAR数据在大面积水稻估产中的应用研究[J].地球科学进展,2003,18(1):109-115.]

[14]Tan Zheng,Liu Xiangnan,Zhang Xiaoqian.Simulation of Dynamics of Crop Biomass by Assimulation SAR Data into Crop Growth Model[J].Chinese Agricultural Science Bulletin,2011,27(27):161-167.[谭正,刘湘南,张晓倩.作物生长模型同化SAR数据模拟作物生物量时域变化特征[J].中国农学通报,2011,27(27):161-167.]

[15]Chen Jinsong,Shao Yun,Li Zhen.Neural Networks Classification of Quad-polarization SAR Data based on Target Decomposition[J].Journal of Image and Graphics,2004,9(5):552-556.[陈劲松,邵芸,李震.基于目标分解理论的全极化SAR图像神经网络分类方法[J].中国图象图形学报,2004,9(5):552-556.]

[16]Wu Zhaocong,Ouyang Qundong,Hu Zhongwen.Polarimetric SAR Image Classification Using Watershed-transformation and Support Vector Machine[J].Geomatics and Information Science of Wuhan University,2012,37(1):7-10.[巫兆聪,欧阳群东,胡忠文.应用分水岭变换与支持向量机的极化SAR图像分类[J].武汉大学学报(信息科学版),2012,37(1):7-10.]

[17]Li Zhen,Chen Quan,Ren Xin.Modeling Envisat-1 Dual-Polarized Data and Its Applications[J].Journal of Remote Sensing,2006,10(5):777-782.[李震,陈权,任鑫.Envisat-1双极化雷达数据建模及应用[J].遥感学报,2006,10(5):777-782.]

[18]Yang Shenbin,Li Bingbai,Shen Shuanghe.Rice Monitoring based on Envisat ASAR Data[J].Jiangsu Journal of Agriculture Sciences,2008,24(1):33-38.[杨沈斌,李秉柏,申双和.基于Envisat ASAR数据的水稻遥感监测[J].江苏农业学报,2008,24(1):33-38.]

[19]Bao Yansong,Liu Liangyun,Wang Jihua,et al.Estimation of Soil Water Content and Wheat Coverage with ASAR Image[J].Journal of Remote Sensing,2006,10(2):263-271.[鲍艳松,刘良云,王纪华,等.利用ASAR图像监测土壤含水量小麦覆盖度[J].遥感学报,2006,10(2):263-271.]

[20]Zhu Xiaoling,Wang Xiaoqin,Ling Feilong.Envisat ASAR Application in Paddy Discrimination[J].Journal of Xiamen University of Technology,2007,15(3):18-21.[朱晓铃,汪小钦,凌飞龙.Envisat ASAR在水稻识别中的应用[J].厦门理工学院学报,2007,15(3):18-21.]

[21]Wang Xiaoqin,Wang Qinmin,Shi Xiaoming,et al.Rice Field Mapping and Monitoring Using ASAR Data based on Principal Component Analysis[J].Transactions of the Chinese Society of Agricultural Engineering,2008,24(10):122-126.[汪小钦,王钦敏,史晓明.基于主成分变换的 ASAR 数据水稻种植面积提取[J].农业工程学报,2008,24(10):122-126.]

[22]〗Li Zhen,Zeng Qunzhu.The Method Study of Snow-cover Mapping with SAR Image[J].Remote Sensing of Environment,1996,11(3):200-205.[李震,曾群柱.合成孔径雷达影象提取雪盖信息研究[J].环境遥感,1996,11(3):200-205.]

[23]Li Zhen,Zeng Qunzhu,Sun Wenxin.A Study of Snow-cover Mapping with SAR Image in the Tianshan Mountains[J].Journal of Glaciology and Geocrylogy,1996,18(4):366-372.[李震,曾群柱,孙文新.天山地区SAR数据雪盖制图研究[J].冰川冻土,1996,18(4):366-372.]

[24]Rango A.Snow Hydrology Processes and Remote Sensing[J].Hydrological Processes,1993,7:121-138.

[25]Caves R,Turpin U,Nagler T,et al.The Role of Earth Observation in Snowmelt Runoff Monitoring from High Latitude Basins:SAR Aspects[C]//IEEE International Geoscience and Remote Sensing Symposium,Seattle,WA,1998:1858-1859.

[26]Nagler T,Rott H.Retrieval of Wet Snow by Means of Multitemporal SAR Data[J].IEEE Transactions on Geosciences and Remote Sensing,2000,38(2):754-765.

[27]Baumgartner M F,Apfl G.Towards an Integrated Geographic Analysis System with Remote Sensing,GIS and Consecutive Modeling for Snow Cover Monitoring[J].International Journal of Remote Sensing,1994,15(7):1507-1517.

[28]Li Zhen,Guo Huadong,Shi Jiancheng.Polarimetric SAR by Space Shuttle Inverse Density of Dry Snow[J].Science Bulletin,2001,46(7):594-597.[李震,郭华东,施建成.航天飞机极化雷达数据反演干雪密度[J].科学通报,2001,46(7):594-597.]

[29]Ainsworth T L,Schuler D L,Lee J S.Polarimetric SAR Characterization of Man-made Structures in Urban Areas Using Normalized Circular-pol Correlation Coefficient[J].Remote Sensing of Environment,2008,112:2876-2885.

[30]Guo H D,Wang X Y,Li X W.Yushu Earthquake Synergic Analysis Using Multimodal SAR Datasets[J].Chinese Science Bulletin,2010,55(31):3499-3503.

[31]Zebker H A,Goldstein R M.Topographic Mapping from Interferometric Synthetic Aperture Radar Observation[J].Journal of Geophysical Research,1986,91(85):4993-4999.

[32]Zhang Wei.Airborne Dual-antenna InSARs Interferometric Calibration Method Research[D].Beijing:Institute of Electronics,Chinese Academy of Sciences,2009.[张薇.机载双天线干涉SAR定标方法研究[D].北京:中国科学院电子学研究所,2009.]

[33]Ferretti A,Prati C,Rocca F.Analysis of Permanent Scatters in SAR Interferometry[C]//IEEE International Geoscience and Remote Sensing Symposium,Hawaii,USA,2000,2:761-763.

[34]Li Xinwu,Guo Huadong,Li Zhen,et al.Coherence Signatures Analysis and Classification of Land Cover of SAR Interferometry[J].High Technology Letters,2002,(5):1-4.[李新武,郭华东,李震,等.干涉雷达地表相干特性分析及土地类型分类[J].高技术通讯,2002,(5):1-4.]

[35]Massonnet D,Rossi M,Carmona C,et al.The Displacement Field of the Landers Earthquake Mapped by Radar Interferometry[J].Nature,1992,364:138-142.

[36]Remi M,Rignot E.Flow of Glacier Moreno,Argentina,from Repeat-pass SIR Image Comparison of the Phase Correlation Method with Radar Interferometry[J].Journal of Glacial,1999,45(149):93-100.

[37]Li Zhen,Zhou Jianmin,Xie Chou.Extracting Cosesimic Deformation of the Wenchuan Earthquake with Spaceborne D-InSAR[J].Journal of Natural Disasters,2011,20(1):105-109.[李震,周建民,谢酬.星载SAR差分干涉测量提取汶川地震同震形变场[J].自然灾害学报,2011,20(1):105-109.]

[38]Guo Huadong,Liu Liangyun,Fan Xiangtao.Study of Earth Observation for Disaster Reduction in Wenchuan and Yushu Earthquakes[J].Geological Journal of China Universities,2011,17(1):1-10.[郭华东,刘良云,范湘涛.对地观测技术用于汶川和玉树地震灾害的研究[J].高校地质学报,2011,17(1):1-10.]

[39]Goldstein R M,Zebker H A.Interferometric Radar Measurement of Ocean Surface Currents[J].Nature,1987,328(20):707-709.

[40]Zhang Jianlong,Singhroy V H,Li Xiaochun.Application of Differential Interferometric SAR to the Jiaju Landslide in Sichuan,China[J].Journal of Chengdu University of Technology(Science & Technology Edition),2010,37(5):554-557.[张建龙,Singhroy V H,李晓春.差分干涉测量技术在四川甲居滑坡监测中应用研究[J].成都理工大学学报(自然科学版),2010,37(5):554-557.]

[41]Hou Jianguo,Yang Chengsheng,Wang Yanan.Monitoring of Subsidence Induced by Coal Mining:A Research based on Differential SAR Interferometry[J].Journal of Natural Disasters,2009,18(6):71-75.[侯建国,杨成生,王亚男.煤矿开采沉陷监测—基于合成孔径雷达差分干涉测量的研究[J].自然灾害学报,2009,18(6):71-75.]

[42]Zhou Zhiwei,Yan Ziping,Liu Su.Persistent Scatterers and Small Baseline SAR Interferometry for City Subsidence Mapping:A Case Study in Panjin,China[J].Geomatics and Information Science of Wuhan University,2011,36(8):928-931.[周志伟,鄢子平,刘苏.永久散射体与短基线雷达干涉测量在城市地表形变中的应用[J].武汉大学学报(信息科学版),2011,36(8):928-931.]

[43]Lin Hui,Chen Fulong,Jiang Liming.Preliminary Research on Large-scale Man-made Linear Features Deformation Monitoring Using Multi-baseline Differential SAR Interferometry[J].Journal of Geo-information Science,2010,12(5):718-725.[林珲,陈富龙,江利明.多基线差分雷达干涉测量的大型人工线状地物形变监测[J].地球信息科学学报,2010,12(5):718-725.]

[44]Zhou Jianmin,Li Zhen,Li Xinwu.Research on Rules of the Valley Glacier Motion in Western China based on ALOS/PALSAR Interferometry[J].Acta Geodaetica et Cartographica Sinica,2009,38(4):341-347.[周建民,李震,李新武.基于ALOS/PALSAR雷达干涉数据的中国西部山谷冰川冰流运动规律研究[J].测绘学报,2009,38(4):341-347.]

[45]Zhou Jianmin, Li Zhen, Xing Qiang.Deriving Glacier Border Information based on Analysis of Decorrelation in SAR Interferometry[J].Journal of Glaciology and Geocrylogy,2010,32(1):133-138.[周建民,李震,邢强.基于雷达干涉失相干特性提取冰川边界方法研究[J].冰川冻土,2010,32(1):133-138.]

[46]Jiang Zongli,Liu Shiyin,Han Haidong.Analyzing Mountain Glacier Surface Velocities Using SAR Data[J].Remote Sensing Technology and Application,2011,26(6):640-646.[蒋宗立,刘时银,韩海东.基于SAR数据的山地冰川表面运动速度分析[J].遥感技术与应用,2011,26(6):640-646.]

[47]Guo Huadong,Li Xinwu,Wang Changlin.The Mechanism and Rule of Polarimetric SAR Interferometry[J].Journal of Remote Sensing,2002,6(6):401-405.[郭华东,李新武,王长林.极化干涉雷达遥感机制及作用[J].遥感学报,2002,6(6):401-405.]

[48]Papathana ssion K P,Cloude S R.Single-baseline Polarimetric SAR Interferometry[J].IEEE Transactions on Geosciences and Remote Sensing,2001,39(11):2352-2363.

[49]Li Tingwei,Huang Haifeng,Liang Diannong.The Polarimetric InSAR Model and a Novel Method for Parameter Inversion of the Three-layer Vegetation[J].Journal of Infrared and Millimeter Waves,2011,30(4):333-338.[李廷伟,黄海风,梁甸农.三层植被极化干涉建模及参数反演新方法研究[J].红外与毫米波学报,2011,30(4):333-338.]

[50]Brandfass M.Generation of Bald Earth Digital Elevation Models as Applied to Polarimetric SAR Interferometry[C]//IEEE International Geoscience and Remote Sensing Symposium,Toronto,Canada,2002.

[51]Luciano V D,Marcos T E.Assessment of Digital Elevation Models Obtained in Brazilian Amazon based on P and X Band Air-borne Interferometric Data[C]//IEEE International Geoscience and Remote Sensing Symposium,Toronto,Canada,2002.

[52]Xiong Tao,Yang Jian,Peng Yingning.Approach to Reversion of DEM based on Polarimetric SAR Interferometry[J].Journal of Tsinghua University(Science and Technology),2007,47(7):1170-1173.[熊涛,杨健,彭应宁.基于极化SAR干涉反演DEM的方法[J].清华大学学报(自然科学版),2007,47(7):1170-1173.]

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