无人机航空遥感技术在震后灾情调查中的应用
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摘要
为开展5.12汶川大地震的震后灾情及次生地质灾害遥感应急调查,利用无人机平台和机载光学遥感载荷组成的无人机航空遥感系统,沿龙门山断裂带及其沿线,对地震形成的山体滑坡、崩塌等地貌变化造成的堰塞湖和其他次生地质灾害,进行了高空间、高时间分辨率的低空遥感探测,获取了大量及时、准确的遥感信息。根据收集遥感数据情况,采取了机载定位定向系统(POS)数据处理、正射影像制作与自动镶嵌、次生地质灾害类型分析与解译等航空遥感数据处理流程,完成了以四川省绵阳市安县等为重点的次生地质灾害调查和灾情评估。
In order to complete remote sensing(RS) emergency investigation for 5.12 Wenchuan post-earthquake and secondary geological disaster,the remote sensing data sources were obtained from unmanned aerial vehicle(UAV) aerial remote sensing system,which was made up of UAV and optical RS payload.The data sources got by the high temporal and spatial resolution low latitude RS sounding,were done by a series of data processing flow such as airborne position & orientation system(POS) data treatment,orthogonal projection image making,automatic image mosaic,secondary geological disaster's type analysis and interpretation.The image interpretation results timely show the disaster situation in the key disaster area (located in An county,Mianyang city,Sichuan province).The important information of the earthquake disaster (afflicted building,landslide and dammed lakes) includes location,boundary,scale etc.
In order to complete remote sensing(RS) emergency investigation for 5.12 Wenchuan post-earthquake and secondary geological disaster,the remote sensing data sources were obtained from unmanned aerial vehicle(UAV) aerial remote sensing system,which was made up of UAV and optical RS payload.The data sources got by the high temporal and spatial resolution low latitude RS sounding,were done by a series of data processing flow such as airborne position & orientation system(POS) data treatment,orthogonal projection image making,automatic image mosaic,secondary geological disaster's type analysis and interpretation.The image interpretation results timely show the disaster situation in the key disaster area (located in An county,Mianyang city,Sichuan province).The important information of the earthquake disaster (afflicted building,landslide and dammed lakes) includes location,boundary,scale etc.
引文
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2Tong Liqiang.Emergency remote sensinginvestigation of barrier lakes at the quake center area caused by"5.12"Wenchuan strong earthquake[J].Remote Sensing for Land&Resources,2008,(3):61～63童立强.“5.12”汶川大地震极重灾区地震堰塞湖应急遥感调查[J].国土资源调查,2008,(3):61～63
3Chen Xiaoqing,Cui Peng,Cheng Zunlanet al..Emergency risk assessment of dammed lakes caused by the Wenchuanearthquake on May12,2008[J].Earth Science Frontiers,2008,15(4):244～249陈晓清,崔鹏,程尊兰等.5.12汶川地震堰塞湖危险性应急评估[J].地学前沿,2008,15(4):244～249
4Wang Ping,Wang Dianqi,Xiong Shengqinget al..Earthquake Aerial Remote Sensing Survey on May12,2008[M].Beijing:Science Press,2009.11～63王平,王殿琦,熊盛青等.“5.12”地震灾害航空遥感调查[M].北京:科学出版社,2009.11～63
5Sun Xian,Wang Hongqi,Zhang Zhenget al..Automatic method for urban roads detection and mapping based on remote sensing i mages[J].Acta Optica Sinica,2009,29(1):86～92孙显,王宏琦,张正等.基于遥感图像的城市道路自动测绘方法研究[J].光学学报,2009,29(1):86～92
6Wang Leiguang,Liu Guoying,Mei Tiancanet al..A segmentation algorithmfor high-resolution remote sensing texture based on spectral and texture information weighting[J].Acta Optica Sinica,2009,29(11):3010～3017王雷光,刘国英,梅天灿等.一种光谱与纹理特征加权的高分辨率遥感纹理分割算法[J].光学学报,2009,29(11):3010～3017
7Ye Chuanqi,Miao Qiguang,Wang Baoshu.Ani mage fusion algorithmusing region segmentation and Contourlet transform[J].Acta Optica Sinica,2008,28(3):447～453叶传奇,苗启广,王宝树.基于区域分割和Counterlet变换的图像融合算法[J].光学学报,2008,28(3):447～453
8Zhang Ruijuan,Zhang Jianqi,Yang Cuiet al..Study on color I mage registrationtechnique based on CSIFT[J].Acta Optica Sinica,2008,28(11):2097～2103张锐娟,张建奇,杨翠等.基于CSIFT的彩色图像配准技术研究[J].光学学报,2008,28(11):2097～2103
9Ni Jun,Yuan Jiahu,Wu Qinzhang.Identification for optical i mage definition based on edge feature[J].Chinese J.Lasers,2009,36(1):172～176倪军,袁家虎,吴钦章.基于边缘特征的光学图像清晰度判定[J].中国激光,2009,36(1):172～176
10Feng Zhongyao,Jia Fang,Zhou Jinghuiet al..Three-di mensional surface shape measurement of big objects by i mage splicing in digital holography[J].Chinese J.Lasers,2008,35(12):2017～2021冯忠耀,贾?,周景会等.数字全息中利用图像拼接测量大物体的三维形貌[J].中国激光,2008,35(12):2017～2021
11Nie Shouping,Wang Ming,Liu Feng.I mage segmentation algorithmstudy for lowcontrast i mage[J].Chinese J.Lasers,2004,31(1):89～91聂守平,王鸣,刘峰.低对比度图像分割算法研究[J].中国激光,2004,31(1):89～91
12Hou Peiguo,Chen Yiqiang,Zhang Bei.Research on road traffic signidentification algorithmbased oninvariance association neural network[J].Laser&Optoelectronics Progress,2010,47(6):061001侯培国,陈毅强,张北.基于不变性联想神经网络的道路交通标志识别算法[J].激光与光电子学进展,2010,47(6):061001
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