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利用机载LiDAR数据提取与分析地裂缝

DOI: 10.6046/gtzyyg.2014.04.18, PP. 111-118

Keywords: LiDAR,点云滤波,微地貌特征,地裂缝识别,线性探测

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Abstract:

机载激光扫描可获取植被茂密地区的数字地形模型(DTM),但将其用于茂密植被覆盖区地裂缝提取方法的研究还不多见。以湖南冷水江市浪石滩为试验区,基于机载LiDAR的激光点云数据,研究了植被覆盖区地裂缝的提取方法,分析了地裂缝的微地貌特征。首先对离散的三维激光点云数据依次进行基于不规则三角网滤波、高程滤波及回波信息强度滤波提取地面点,以保留完整的微地貌微特征;然后构建不规则三角网,反距离加权内插生成数字高程模型(DEM),提取地裂缝识别参数,同时基于最小曲率对地裂缝进行线性探测,提取地裂缝的长度信息,且利用地裂缝剖面信息分析其微特征,结合识别参数分析地裂缝的稳定性。研究结果表明:利用机载LiDAR点云数据提取的地裂缝识别参数,能够确定地裂缝的位置、坡度坡向、长度和深度信息,有助于判定地裂缝的稳定性;在植被较为茂密、地面点密度稀疏的区域,保留一定的低矮植被所提取到的DEM能更好地保留地裂缝的微地貌特征。

References

[1]  Jachens R C,Holzer T L.Differential compaction mechanism for earth fissures near Casa Grande,Arizona[J].Geological Society of America Bulletin,1982,93(10):998-1012.
[2]  Holzer T L,Davis S N,Lofgren B E.Faulting caused by groundwater extraction in south-central Arizona[J].Journal of Geological Research,1979,84(B2):603-612.
[3]  Belardinelli M E,Sandri L,Baldi P.The major event of the 1997 Umbria-Marche(Italy)sequence:What could we learn from DInSAR and GPS data[J].Geophysical Journal International,2003,153(1):242-252.
[4]  Niebergall S,Loew A,Mauser W.Object-orientated analysis of very high resolution QuickBird data for mega city research in Delphi/India[C]//Proceedings of the Urban Remote Sensing Joint Event,Paris.ISBN:1-4244-0712-5.2007:8-13,IEEE07EX1577.
[5]  Baltsavias E P.A comparison between photogrammetry and laser scanning[J].ISPRS J Photogrammetry and Remote Sensing,1999,54(2):83-94.
[6]  Carter W E,Shrestha R L,Slatton K C.Geodetic laser scanning[J].Phys Today,2007:60(12):41-47.
[7]  张小红.机载激光雷达测量技术理论与方法[M].武汉:武汉大学出版社,2007:93-116。 Zhang X H.The Theory and Technical Method of Airborne Laser Radar Measurement[M].Wuhan:Wuhan University Process,2007:93-116.
[8]  路兴昌,张雪霞.基于回波强度和采样点距离的点云滤波研究[J].测绘科学,2009,34(6):196-197. Lu X C,Zhang X X.Study on points cloud filtering based on reflectance intensity and range[J].Science of Surveying and Mapping,2009,34(6):196-197.
[9]  Niethammer U,Rothmund S,Joswig M.UAV-based remote sensing of the slow moving landslide Super-Sauze[C]//Malet J P,Rema tre A,Boogard T.Proceedings of the International Conference on Landslide Processes:From Geomorphologic Mapping to Dynamic Modelling.Strasbourg:CERG Press,2009:69-74.
[10]  Niethammer U,Rothmund S,James M R,et al.UAV-based remote sensing of landslides[C]//International Archives of Photogrammetry,Remote Sensing and Spatial Information Sciences,Vol.XXXVIII,Part 5 Commission V Symposium,Newcastle upon Tyne,UK.2010:496-501.
[11]  OrthoVista.Official OrthoVista software homepage[EB/OL].
[12]  Brügelmann R.Automatic breakline detection from airborne laser range data[J].International Archives of Photogrammetry and Remote Sensing,2000,33(B3):109-115.
[13]  Briese C.Three-dimensional modelling of breaklines from airborne laser scanner data[J].International Archives of Photogrammetry Remote Sensing,2004,35(B3):109-I102.
[14]  Wood J.The geomorphological characterization of digital elevation models[D].Leicester,UK:University of Leicester,1996.

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