Processing Intensive Full-Waveform Aerial Laser Scanning Matlab Jobs through Condor
Internet of Things and Cloud Computing
Volume 1, Issue 1, June 2013, Pages: 5-14
Received: Jun. 23, 2013; Published: Aug. 10, 2013
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Fanar Mansour Abed, Surveying Engineering Department, College of Engineering, University of Baghdad, Baghdad, Iraq
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Full-waveform aerial laser scanning is a laser system that records the entire backscattered signal of the laser pulse and stores it in the system recorder for post-processing. Capturing the complete waveform of the backscatter signal enables distinguishing between neighborhood echoes of a range smaller than the pulse length. Full-waveform has shown potential to better describe land cover features through the additional physical information it can provide alongside the standard geometric information. To fully utilize full-waveform for enhanced object recognition and feature extraction, it is essential to develop an automatic and effective routine to manage and process full-waveform datasets in a manner which requires less human effort and reduces time needed to process large laser datasets efficiently. This research tackled this problem through introducing a novel processing strategy for full-waveform data based on a developed pulse detection methodto run through Matlab environment. The solution adopted a grid computing Condor-based approach, which showed significant potential to reduce the time and effort needed to process large datasets such as full-waveform aerial laser scanning to more than 300% in specific conditions.
Laser Scanning, Lidar, Full-Waveform, Signal Analysis, Grid Computing, Condor
To cite this article
Fanar Mansour Abed, Processing Intensive Full-Waveform Aerial Laser Scanning Matlab Jobs through Condor, Internet of Things and Cloud Computing. Vol. 1, No. 1, 2013, pp. 5-14. doi: 10.11648/j.iotcc.20130101.12
F. Ackermann, (1999), 'Airborne laser scanning- present status and future expectations', ISPRS Journal of Photogrammetry and Remote Sensing, 54 (2-3), pp. 64-67.
C. Mallet, and F. Bretar, (2009), 'Full-waveform topographic lidar: State-of-the-art', ISPRS Journal of Photogrammetry and Remote Sensing, 64 (1), 16 p.
G. Vosselman, and H.-G. Maas, (2010), Airborne and terrestrial laser scanning. Scotland, UK: Whittles Publishing.
J. Shan, and C. K. Toth, (2009), Topographic laser ranging and scanning - principles and processing. FL, USA: Taylor & Francis.
B. Jutzi, and U. Stilla, (2006), 'Range determination with waveform recording laser systems using a Wiener Filter', ISPRS Journal of Photogrammetry and Remote sensing, 61 (2), pp. 95–107.
F. Bretar, A. Chauve, J.-S Bailly, C. Mallet, and A. Jacome, (2009), 'Terrain surfaces and 3-D landcover classification from small footprint full-waveform lidar data: application to badlands', Hydrology and Earth System Sciences, 13 (8), pp. 1531-1545.
Lin, Y.-C., Mills, J. P. and Smith-Voysey, S. (2010), 'Rigorous pulse detection from full-waveform airborne laser scanning data', International Journal of Remote Sensing, 31 (5), pp. 1303-1324.
C. Mallet, F. Bretar, M. Roux, U. Soergel, and C. Heipke, (2011), 'Relevance assessment of full-waveform lidar data for urban area classification', ISPRS Journal of Photogrammetry and Remote Sensing, 66 (6), pp. S71-S84.
M. Doneus, C. Briese, M. Fera, and M. Janner, (2008), 'Archaeological prospection of forested areas using full-waveform airborne laser scanning', Journal of Archaeological Science, 35 (4), pp. 882-893.
Y.-C Lin, J. Mills, and S. Smith-Voysey, (2008), 'Detection of weak and overlapping pulses from waveform airborne laser scanning data', In: Hill, R., Suárez, J. & Rosette, J. (Eds.), Proceedings of SilviLaser 2008, Edinburgh, United Kingdom, 10 p.
W. Mücke, (2008), Analysis of full-waveform airborne laser scanning data for the improvement of DTM generation. Master thesis.Vienna University of Technology, 67 p.
W. Wagner, A. Ullrich, V. Ducic, T. Melzer, and N. Studnicka, (2006), 'Gaussian decomposition and calibration of a novel small-footprint full-waveform digitizing airborne laser scanner', ISPRS Journal of Photogrammetry and Remote Sensing, 60 (2), pp. 100–112.
Y.-C Lin, (2009), Digital terrain modelling from small-footprint, full-waveform airborne laser scanning data. PhD thesis.Newcastle University, 205 p.
W. Wagner, A. Roncat, T. Melzer, and A. Ullrich, (2007), 'Waveform analysis techniques in airborne laser scanning', International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36 (3/W52), pp. 413-418.
G. Mandlburger, C. Briese, and N. Pfeifer, (2007), 'Progress in lidar sensor technology-chance and challenge for DTM generation and data administration', In: Proceedings of The 51st Photogrammetric Week. Stuttgart, Germany, pp. 159-169.
M. Doneus, and C. Briese, (2006), 'Digital terrain modelling for archaeological interpretation within forested areas using full-waveform lasers canning', In: Proceedings of The 7th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST2006). Nicosia, Cyprus, pp. 155-162.
Y.-C. Lin, and J. P. Mills, (2009), 'Integration of full-waveform information into the airborne laser scanning data filtering process', International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38 (3/W8), pp. 224-229.
A. Chauve, F. Bretar, S. Durrieu, M. Pierrot-Deseilligny, and W. Puech, (2009), 'FullAnalyze: A research tool for handling, processing and analysing Full-waveform Lidar data', In: Proceedings of Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 200,, Cape Town, South Africa, pp. 841-844.
X. Guan, and H. Wu, (2010), 'Leveraging the power of multi-core platforms for large-scale geospatial data processing: Exemplified by generating DEM from massive lidar point clouds', Computers and Geosciences, 36 (10), pp. 1276-1282.
S. McGough, P. Robinson, C. Gerrard, P. Haldane, S. Hamlander, D. Sharples, D. Swan, and S. Wheater, (2010), 'Intelligent power management over large clusters ', In: Proceedings of Green Computing and Communications (Green Com 2010). Hangzhou, China, 8 p. :On CD-ROM.
S. McGough, (2011), 'Parallel computing, myths and truths', Available at:!gateway/page/!gateway-100 (Accessed: 24 Nov 2011).
G. Mandlburger, J. Otepka, W. Karel, W. Wagner, and N. Pfeifer, (2009), 'Orientation and processing of airborne laser scanning data (OPALS) - concept and first results of a comprehensive ALS software', International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38 (3/W8), pp. 55-60.
G. Mandlburger, N. Pfeifer, C. Ressl, C. Briese, A. Roncat, H. Lehner, and W. Mücke, (2010), 'Algorithms and tools for airborne lidar data processing from a scientific perspective', In: Proceedings of The European Lidar Mapping Forum (ELMF) 2010. Hague/ Netherlands: On CD-ROM.
OPALS (2009), Orientation and processing of airborne laser scanning data. Available at: (Accessed: 18 Sep 2009).
FullAnalyze (2009), Open source lidar software. Available at: (Accessed: 16 Dec 2009).
Terrasolid. (2008), 'TerraScan User's Guid ', Available at: (Accessed: 03 Feb 2009).
Riegl. (2008), 'RiAnalyze 560 for Full Waveform Analysis user Manual', Available at: (Accessed: 4 March 2009).
R. Raman, M. Livny, and M. Solomon, (1998), 'Matchmaking: Distributed resource management for high throughput computing', In: Proceedings of The 7th IEEE International symposium on high performance distributed computing. Chicago, USA, 7p.
Y. S. Dai, M. Xie, and K. L. Poh, (2002), 'Reliability analysis of grid computing systems', In: Proceedings of the 2002 Pacific Rim International Symposium on Dependable Computing. Tsukuba-City, Ibarski, Japan, pp. 97-104.
F. Dong, and S. G. Akl, (2006), 'Scheduling algorithms for grid computing: State of the art and open problems', School of computing, Queen's University, Ontario, Canada, 55p.
Condor (1988), Condor Team. Available at: (Accessed: 15 Oct 2009).
M. Litzkow, M. Livny, and M. Mutka, (1988), 'Condor - A hunter of idle workstations', In: Proceedings of The 8th International Conference on Distributed Computing Systems. San Jose, California, USA, IEEE-CS, pp. 104-111.
J. Dean, and S. Ghemawat, (2008), 'Map Reducer: simplified data processing on large clusters', Communications of the ACM,51 (1), pp. 107-113.
D. Thain, T. Tannenbaum, and M. Livny, (2005), 'Distributed computing in practice: The Condor experience', Concurrency and computation: practice and experience, 17 (2-4), pp. 323-356.
F. M. Abed, and S. McGough, (2010), 'Processing data intensive Matlab jobs through Condor', In: Proceedings of All Hands Meeting 2010. Cardiff, Wales, UK:On CD-ROM.
J. Blythe, E. Deelman, Y. Gil, and C. Kesselman, (2003), 'Transport grid computing: a knowledge-based approach', In: Proceedings of The fifth Innovative Applications of Artificial Intelligence conference (IAAI-03). Acapulco, Mexico, 8 p.
W. Elwasif, J. Plank, and R. Wolski, (2001), 'Data staging effects in wide area task framing applications', In: Proceedings of IEEE ISCC and the Grid Brisbane, Australia, 9 p.
T. Lindholm, and F. Yellin, (1999), Java virtual machine specification.2nd Ed. Boston, MA, USA Addison-Wesley Longman.
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