Semi-automatic mapping of geological Structures using UAV-based photogrammetric data: An image analysis approach

Computers and Geosciences

Volumn 69, Issue , 2014, Pages 22-32

  Vasuki, Yathunanthan ^a   Holden, Eun Jung ^a   Kovesi, Peter ^a   Micklethwaite, Steven ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Automated image feature detection; Contrast invariant feature detection; Photogrammetric data analysis; Semi automated fault mapping

Indexed keywords

FAULT DETECTION; FAULTING; IMAGE ANALYSIS; MAPPING; PHOTOGRAMMETRY; THREE DIMENSIONAL; UNMANNED AERIAL VEHICLES (UAV);

AUTOMATED IMAGE ANALYSIS; FAULT MAPPING; GEOLOGICAL STRUCTURES; IMAGE FEATURES; INTERPRETATION METHODS; INVARIANT FEATURES; STRUCTURE FROM MOTION; THREE DIMENSIONAL (3D) STRUCTURES;

AUTOMATION;

AERIAL PHOTOGRAPH; AUTONOMOUS UNDERWATER VEHICLE; DETECTION METHOD; MAPPING; PHOTOGRAMMETRY; SPATIAL RESOLUTION; THREE-DIMENSIONAL MODELING; UNMANNED VEHICLE;

EID: 84900510141     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2014.04.012     Document Type: Article

References (49)

1. Abdullah A., Nassr S., Ghaleeb A. Landsat ETM-7 for lineament mapping using automatic extraction technique in the SW part of Taiz Area, Yemen. Global J. Hum. Soc. Sci. Res. 2013, 13:35-38.
2. Argialas D.P., Mavrantza O.D. Comparison of edge detection and hough transform techniques for the extraction of geologic features. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2004, 34:790-795.
3. Canny J. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 1986, PAMI-8:679-698. 10.1109/TPAMI.1986.4767851.
4. Den Hertog A.L., Visser D.W., Ingham C.J., Fey F.H.A.G., Klatser P.R., Anthony R.M. Simplified automated image analysis for detection and phenotyping of mycobacterium tuberculosis on porous supports by monitoring growing microcolonies. PLoS ONE 2010, 5:e11008. 10.1371/journal.pone.0011008.
5. Donovan, J., Lebaron, A., 2009. A comparison of photogrammetry and laser scanning for the purpose of automated rock mass characterization. Presented at the 43rd U.S. Rock Mechanics Symposium & 4th U.S.-Canada Rock Mechanics Symposium. American Rock Mechanics Association.
6. Duda R.O., Hart P.E. Use of the Hough transformation to detect lines and curves in pictures. Commun. ACM 1972, 15:11-15. 10.1145/361237.361242.
7. Feng Q., Sjögren P., Stephansson O., Jing L. Measuring fracture orientation at exposed rock faces by using a non-reflector total station. Eng. Geol. 2001, 59:133-146. 10.1016/S0013-7952(00)00070-3.
8. Ferrero A., Forlani G., Roncella R., Voyat H. Advanced geostructural survey methods applied to rock mass characterization. Rock Mech. Rock Eng. 2009, 42:631-665. 10.1007/s00603-008-0010-4.
9. Ferrero A.M., Migliazza M., Roncella R., Segalini A. Rock cliffs hazard analysis based on remote geostructural surveys: the Campione del Garda case study (Lake Garda, Northern Italy). Geomorphology 2011, 125:457-471. 10.1016/j.geomorph.2010.10.009.
10. Fischler M.A., Bolles R.C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 1981, 24:381-395.
11. Furukawa Y., Ponce J. Accurate, dense, and robust multiview stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32:1362-1376.
12. Gustafsson P. Spot satellite data for exploration of fractured aquifers in a semi-arid area in Southeastern Botswana. Appl. Hydrogeol. 1994, 2:9-18. 10.1007/s100400050246.
13. Haneberg W.C. Using close range terrestrial digital photogrammetry for 3-D rock slope modeling and discontinuity mapping in the United States. Bull. Eng. Geol. Environ. 2008, 67:457-469. 10.1007/s10064-008-0157-y.
14. Hartley R., Zisserman A. Multiple View Geometry in Computer Vision 2004, Cambridge University Press. 2nd ed.
15. Harwin S., Lucieer A. Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from Unmanned Aerial Vehicle (UAV) imagery. Remote Sens. 2012, 4:1573-1599. 10.3390/rs4061573.
16. Holden E.-J., Dentith M., Kovesi P. Towards the automated analysis of regional aeromagnetic data to identify regions prospective for gold deposits. Comput. Geosci. 2008, 34:1505-1513. 10.1016/j.cageo.2007.08.007.
17. Hung, L.Q., Batelaan, O., De Smedt, F., 2005. Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery. Case study: suoimuoi tropical karst catchment, Vietnam, vol. 5983. In: Proceedings of SPIE. Presented at the Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, SPIE. pp. 59830T-1-59830T-12. http://dx.doi.org/10.1117/12.627699.
18. Irschara, A., Kaufmann, V., Klopschitz, M., Bischof, H., Leberl, F., 2010. Towards fully automatic photogrammetric reconstruction using digital images taken from UAVs. In: Proceedings of the ISPRS TC VII Symposium-100 Years ISPRS.
19. Juneja M., Sandhu P.S. Performance evaluation of edge detection techniques for images in spatial domain. Int. J. 2009, 1:614-621.
20. Kottenstette, J., 2005. Measurement of geologic features using close range terrestrial photogrammetry. In: Proceedings of the 40th US Symposium on Rock Mechanics (USRMS) Alaska Rocks 2005.
21. Kovesi, P., 1997. Symmetry and asymmetry from local phase. In: Proceedings of the Tenth Australian Joint Conference on Artificial Intelligence. pp. 2-4.
22. Kovesi P. Image Features from Phase Congruency. Videre: J. Comput. Vis. Res. 1999, 1:1-26.
23. Kovesi, P., 2000. MATLAB and Octave Functions for Computer Vision and Image Processing.
24. Kovesi, P., 2002. Edges are not just steps. In: Proceedings of the Fifth Asian Conference on Computer Vision. pp. 822-827.
25. Kovesi, P., 2003. Phase congruency detects corners and edges. In: Proceedings of the Australian Pattern Recognition Society Conference. pp. 309-318.
26. Lemy F., Hadjigeorgiou J. Discontinuity trace map construction using photographs of rock exposures. Int. J. Rock Mech. Min. Sci. 2003, 40:903-917. 10.1016/S1365-1609(03)00069-8.
27. Linder W. Digital Photogrammetry: A Practical Course 2009, Springer. 3rd ed.
28. Lowe D.G. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 2004, 60:91-110.
29. Lucieer, A., Robinson, S.A., Turner, D., 2011. Unmanned Aerial Vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on Structure from Motion (SfM) point clouds. In: Proceedings of the 34th International Symposium on Remote Sensing of Environment (ISRSE34).
30. Lucieer A., Turner D., King D.H., Robinson S.A. Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds. Int. J. Appl. Earth Obs. Geoinf. 2013, 10.1016/j.jag.2013.05.011.
31. Mabee S.B., Hardcastle K.C., Wise D.U. A method of collecting and analyzing lineaments for regional-scale fractured-bedrock aquifer studies. Ground Water 1994, 32:884-894. 10.1111/j.1745-6584.1994.tb00928.x.
32. Maini R., Aggarwal H. Study and comparison of various image edge detection techniques. Int. J. Image Process. 2009, 3:1.
33. Marghany, M., Mahdi, S.I.E., Hashim, M., 2006. Automatic detection of lineaments from LANDSAT Images in United Arab Emirate (UAE) - Universiti Teknologi Malaysia Institutional Repository. In: Proceedings of the International Conference on Space Technology and Geo-Informatics.
34. Micklethwaite S., Turner D., Vasuki Y., Kovesi P., Holden E.-J., Lucieer A. Mapping from an armchair: rapid, high-resolution mapping using UAV and computer vision technology. Struct. Geol. Resour. 2012, 2012:130-133.
35. Mulrane L., Rexhepaj E., Penney S., Callanan J.J., Gallagher W.M. Automated image analysis in histopathology: a valuable tool in medical diagnostics. Expert Rev. Mol. Diagn. 2008, 8:707-725. 10.1586/14737159.8.6.707.
36. Oliver C.J., Blacknell D., White R.G. Optimum edge detection in SAR. IEE Proc. Radar Sonar Navigation 1996, 143:31-40. 10.1049/ip-rsn:19960219.
37. Onkaew, D., Turior, R., Uyyanonvara, B., Kondo, T., 2011. Automatic extraction of retinal vessels based on gradient orientation analysis. In: Proceedings of the Eighth International Joint Conference on Computer Science and JCSSE. Presented at the Eighth International Software Engineering Joint Conference on Computer Science and Software Engineering (JCSSE). pp. 102-107. http://dx.doi.org/10.1109/JCSSE.2011.5930102.
38. Priest S.D. Discontinuity Analysis for Rock Engineering 1993, Springer.
39. Sander P., Minor T.B., Chesley M.M. Ground-water exploration based on lineament analysis and reproducibility tests. Ground Water 1997, 35:888-894. 10.1111/j.1745-6584.1997.tb00157.x.
40. Sarp G. Lineament analysis from satellite images, northeast of Ankara (M.Sc. thesis) 2005, Middle East Technical University.
41. Shao Y., Guo B., Hu X., Di L. Application of a fast linear feature detector to road extraction from remotely sensed imagery. IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens. 2011, 4:626-631. 10.1109/JSTARS.2010.2094181.
42. Snavely N., Seitz S.M., Szeliski R. Modeling the world from internet photo collections. Int. J. Comput. Vis. 2007, 80:189-210. 10.1007/s11263-007-0107-3.
43. Tonon, Kottenstette Laser and Photogrammetric Methods for Rock Face Characterization held at GoldenRocks 2006, the 41st U.S. Rock Mechanics Symposium. Colorado School of Mines 2006, 6:17-18.
44. Treash B.K., Amaratunga K. Automatic road detection in grayscale aerial images. ASCE J. Comput. Civil Eng. 2000, 14:60-69.
45. Turner D., Lucieer A., Watson C. An automated technique for generating georectified mosaics from ultra-high resolution Unmanned Aerial Vehicle (UAV) imagery, based on Structure from Motion (SfM) point clouds. Remote Sens. 2012, 4:1392-1410. 10.3390/rs4051392.
46. Vassilas, N., Perantonis, S., Charou, E., Tsenoglou, T., Stefouli, M., Varoufakis, S., 2002. Delineation of lineaments from satellite data based on efficient neural network and pattern recognition techniques. In: Proceedings of the 2nd Hellenic Conference on AI, SETN-2002. pp. 11-12.
47. Vasuki, Y., Holden, E.-J., Kovesi, P., Micklethwaite, S., 2013. A geological structure mapping tool using photogrammetric data. In: ASEG Extended Abstracts. pp. 1-4.
48. Wang J., Howarth P.J. Use of the hough transform in automated lineament. IEEE Trans. Geosci. Remote Sens. 1990, 28:561-567.
49. Wu, T.D., Lee, M., 2007. Geological lineament and shoreline detection in SAR images. In: Proceedings of the Geoscience and Remote Sensing Symposium, IGARSS 2007, IEEE International. pp. 520-523.