14 December 2015 Attitude extraction of shallow stratum based on P5 stereo images and Geoeye-1 image
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Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98151G (2015); doi: 10.1117/12.2205277
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
In this paper, P5 stereo images and GeoEye-1 image are firstly processed and analysed in order to extract Digital Elevation Model (DEM) and divide stratum. The perpendicular Root Mean Square error of extracted DEM is within 5m in residual elevation report using methods of check point and visual inspection. According to the stratum division, measure points which are located at boundary or inner stratum are chosen at regions with better triangular facet of rock and st1able attitude, and then the attitude of stratum is extracted using three-dimensional data of the measure points through programming in MATLAB environment based on three-point method or multiple-point fitting method. Based on field survey, the measurement residual of dip angles is within 6 degrees, 85% less than 4 degrees. and those intermediate less than 3 degree. At the same time, seasons of residual generation are concluded, including geological structure, topography, accuracy of DEM, matching degree of DEM and images, the location of chosen point and so on. It is suggested that the method of attitude extraction using P5 stereo images and GeoEye-1 image is less restricted by worse natural conditions. Not only can the method restricts the profile of shallow tectonics, but also can cover the shortage of attitude of stratum, and have great significance for reducing uncertainty of Kalpin thrust tectonic deformation research. It provides a new way for quantitative research of Structural Geology, and also provides references for similar regions.
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Huaguo Liu, Feng Li, Yongkang Ran, An Li, Liangxin Xu, "Attitude extraction of shallow stratum based on P5 stereo images and Geoeye-1 image", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151G (14 December 2015); doi: 10.1117/12.2205277; http://dx.doi.org/10.1117/12.2205277
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KEYWORDS
Image processing

3D modeling

Earthquakes

Geology

Remote sensing

Satellites

Photography

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