Methodological Validation for Automated Lineament Extraction by LINE Method in PCI Geomatica and MATLAB based Hough Transformation
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Department of mining engineering, Indian Institute of Engineering Sciences and Technology, Shibpur, Howrah – 711 103
Chalantika Laha Salui
DOI:
https://doi.org/10.1007/s12594-018-1015-6Abstract
Spatial distribution and pattern recognition of geologic lineaments are very effective in hazard risk evaluation. To make the process automated, various algorithms with various data sources were applied. This paper aims to make a review on such algorithms as well as data sources used. Comparative analysis of the LINE algorithm in PCI Geomatica and Hough Transformation in MATLAB has been conducted to explore the procedural accuracy with reference to existing landslides in the Darjeeling Himalayan region. Another comparison was made based on data sources like Landsat-8 OLI and digital elevation model, with reference to the same. As lineament density affects the landslide occurrences predominantly, the output lineament density by these two methods as well as with ground reflection and ground elevation data, were correlated with that of the landslide inventory map. A relational illustration was also done in between the lithological thrust direction and the direction of the individual lineament outputs. Hence, this study provides a decision on the use of a reliable method and data source for the automated lineament extraction which can be considered as generating an output with higher accuracy and, hence, safer for using it in the structural planning and execution of projects on various natural hazard studies.
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Abarca, M.A.A (2006) Lineament extraction from digital terrain models, case study: San Antonio del sur area, South-eastern Cuba”, thesis submitted to the International Institute for Geoinformation Science and Earth Observation, ITC, The Netherlands. Accessed from: https://www.itc.nl/ library/papers_2006/msc/ereg/arenas.pdf on 9th April, 2017.
Abdullah, A. Nassr, S. and Ghaleeb, A. (2013) Landsat ETM-7 for lineament mapping using automatic extraction technique in the SW part of Taiz area, Yamen”, Global Journal of Human Social Science, vol. 13(3). Accessed from https://globaljournals.org/GJHSS_Volume 13/5-LandsatETM-for-Lineament-Mapping.pdf on 11th March, 2017.
Acton, C.E., Priestley, K., Mitra, S., Gaur, V.K. (2011) Crustal structure of the Darjeeling”Sikkim Himalaya and southern Tibet. Internat. Jour. Geophys., v.184(2), pp.829-852.
Albanagan, R., Rohan K., Lakshmanan, K., Parida, S. and Neethu, S. (2015) Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim. Geoenvironmental Disasters, v.2(6), pp.3-17.
Alhirmizy, S (2015) Automatic mapping of lineaments using shaded relief images derived from Digital Elevation Model (DEM) in Kirkuk Northeast Iraq. Internat. Jour. Sci. Res., v.4(5), pp.2228-2233.
Argialas, D.P. and Mavrantza, O.D. (2004) Comparison of Edge Detection and Hough Transform Techniques in Extraction of Geologic Features. In: Proc. XXth ISPRS Congress of the International Society of Photogrammetry and Remote Sensing, 12-23 July 2004, Turkey, IAPRSXXXV, pp.790-795.
Auden, J.B. (1935) Traverses in the Himalaya. Rec. Geol. Surv. India, LXIX (part-2), pp.123-167.
Ballard, D.H. and Brown, C.M. (1982) Computer Vision. Prentice Hall Inc., Englewood Cliffs, New Jersey, pp.123-131.
Canny, J. F. (1986) A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, v.8, pp.679-714.
Dalati, M. (2000) Lineaments on Landsat images – detection mapping and tectonic significance in north-western depressions of Syria. International Archives of Photogrammetry and Remote Sensing, v.33(B7), pp.301-305.
Dash, A.J. (1947) Bengal District Gazetteers, Darjeeling, Bengal Government Press, Alipore, Bengal,
Duda, R.O. and Hart, P.E. (1972) Use of the Hough Transform to detect curves and lines in pictures. Communications of the Association for Computing Machinery, v.15(1), pp.11-15.
El-sawy K. El-sawy, Atef, M. Ibrahim, Mohamed A. El-bastawesy and Waleed A. El-saud (2016) Automated, manual lineaments extraction and geospatial analysis for Cairo-Suez district (Northeastern Cairo-Egypt), using remote sensing and GIS. Internat. Jour. Innovative Sci., Engg. and Tech., v.3(5), pp.491-500.
Fitton, N.C. and Cox, S.J.D. (1998) Optimizing the application of the hough transformation for the automated feature extraction from geoscientific images. Computers and Geosciences, v.24, pp.933-951.
Gupta, R.G (1991) Remote Sensing geology. Springer-Verlag, Berlin, 356p.
Hassan, M.A. and Adhab, S.S. (2014) Lineament automatic extraction analysis for Galal Badra river basin using Landsat 8 satellite image. Iraqi Jour. Physics, v.12(25), pp.44-55.
Hobbs, W.H. (1911) Repeating patterns in the relief and in the structure of the land. Geol. Soc., v.22, pp.123–176.
Hough, P.V.C. (1962) Method and means for recognizing complex patterns. U.S. Patent 3,069,654.
Ibrahim, U and Mutua, F. (2014) Lineament extraction using Landsat 8 (OLI) in Gedo, Somalia. Internat. Jour. Sci. Res., v.3(9), pp.291-296.
Karnieli, A., Meisels, A., Fisher, L. and Arkin, Y. (1996) Automatic extraction and evaluation of geological linear features from digital remote sensing data using Hough Transformation. Photogrammetric Engineering & Remote Sensing, v.62(5), pp.525-531.
Kocal, A., Duzgun, H.S. and Karpuz, C. (2004) Discontinuity mapping with automatic lineament extraction from high resolution satellite imagery”, ISPRS Proc.-XXXV. Accessed from: www.isprs.org/proceedings/XXXV/ congress/comm7/papers/205.pdf. on 27th March, 2017.
Mallet, F.R. (1875) On the geology and mineral resources of the Darjiling District and the Western Duars. Geol. Surv. India Mem., v.11 pp.1–50.
Mandal, S. and Maiti, R. (2014) Role of lithological composition and lineaments in landsliding: A case study of Shivkhola watershed, Darjeeling Himalaya. Internat. Jour. Geol. Earth and Environ. Sci., v.4(1), pp.126132.
Mankisch, M., Stotter, J., Monteferri, F.P. and Rutzinger, M. (2007) Algorithms for the extraction of lineaments from airborne laser scanning data. Institute of Mountain Research, accessed from http://www.zobodat.at/pdf/IGFForschungsberichte_ 2_0371-0378.pdf on 14th February, 2017.
MASOUD, A.A and KOIKE, K. (2011) Auto-detection and integration of tectonically significant lineaments from SRTM DEM and remotely sensed geophysical data. ISPRS Jour. Photogrametry and Remote Sensing, v.66, pp.818-832.
Matori, A.N., Basith, A. and Harahap, I.S.H. (2012) Study of regional monsoonal effects on landslide hazard zonation in Cameron Highlands, Malaysia. Arabian Jour. Geosci., v.5(5), pp.1069–1084.
Mishra, O.P. (2014) Intricacies of the Himalayan seismotectonics and seismogenesis: need for integrated research. Curr. Sci., v.106(2), pp.176187.
Morris, K. (1991) Using knowledge-base rules to map the three dimensional nature of geologic features. Photogrammetric Engineering and Remote Sensing, v.57, pp.1209-1216.
Neawsuparp, K. and P. Charusiri, (2004) Lineaments Analysis Determined from Landsat Data Implication for Tectonic Features and Mineral Occurrences in Northern Loei Area, NE Thailand. Science Asia, v.30, pp.269-278.
Prasad, A.D., Jain, K. and Gairola, A. (2013) Mapping of lineaments and knowledge base preparation using geomatics techniques for part of the Godavari and Tapi basins, India: a case study. Internat. Jour. Computer Applications, v.70(9), pp.39-47.
Rahnama, M. and Gloaguen, R. (2014) Techlines: A MATLAB based toolbox for tectonic lineament analysis from satellite images and DEMs, Part-1: Line segment detection and extraction. Remote Sensing, v.6, pp.59385958.
Rahnama, M. and Gloaguen, R. (2014) Techlines: A MATLAB based toolbox for tectonic lineament analysis from satellite images and DEMs, Part-2: Line segment linking and merging. Remote Sensing, v.6, pp.1146811493.
Shankar, B., Tornabene, L.L., Osinski, G. R., Roffey M., Bailey, J. M. and Smith, D. (2016) Automated lineament extraction technique for the Sudbury impact structure using remote sensing datasets – an update. 47th Lunar and Planetary Science Conference, Accessed from: https:// www.hou.usra.edu/meetings/lpsc2016/pdf/1424.pdf on 7th April, 2017.
Å ilhavi, J., Minár J., Mentlík, P. and Sládek, J. (2016) A new artefacts resistant method for automatic lineament extraction using Multi-hillshade Hierarchic Clustering (MHHC). Computers and Geosciences, v.92, pp.920.
Thannoun, R.G. (2013) Automatic Extraction and Geospatial Analysis of Lineaments and their Tectonic Significance in some areas of Northern Iraq using Remote Sensing Techniques and GIS. Internat. Jour. Enhanced Res. Sci. Tech. Engg., v.2(2), pp.1-11.
Wang, J. and Howarth, P.J (1990) Use of the hough transformation in automated lineament detection. IEEE Trans. Geoscience and Remote Sensing, v.28, pp.561-566.
Zheng, X., Xiong, H., Yye, L. and Gong, J. (2016) An improved ANUDEM method combining topographic correction and DEM interpolation. Geocarto Internat., v.31(5), pp.492-505.
http://darjeeling.gov.in/geography.html accessed on 2nd February, 2017 http://wbdmd.gov.in/Pages/Land_Mapping.aspx accessed on 2nd February, 2017
https://in.mathworks.com/help/images/ref/hough.html?requestedDomain= in.mathworks.com accessed on 17th April, 2017.
http://pro.arcgis.com/en/pro-app/too-reference/3d-analyst/how-topo-to-rasterworks.htm. accessed on 5th March, 2017.
www.pcigeomatics.com/TrainingGuide-Geomatica-1.pdf accessed on 23rd March, 2017.
