Abstract
This paper highlights the study on realism of 3D city urban model for security hotspot analysis using remote sensing data and spatial analysis approach. New advanced remote sensing data, namely LiDAR (Light Detection and Ranging) and IKONOS satellite data were used to obtain the spatial information of the urban features which used to simulate the 3D urban city model. This study examines the threats from the snipers using multi-criteria algorithm, emphasizing on viewshed and distance analysis on 3D urban city model of Dataran Merdeka, Kuala Lumpur, Malaysia, one of the most frequently selected venue for many public events. The main output of the study is the identification of potential spots, best to enclave prospective snipers given the effective shooting ranges and clear viewshed to the target of interest. Rainfall effects, a common environmental factor that hinders clarity of snipers viewshed in tropical cities has also been considered in the identification of these potential risky spots. The identified risk spots were later confirmed fully with in-situ verifications, hence demonstrated the utility of such technique for applications in the security hotspot analysis.
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References
Chen, Y., Yu, J., Shahbaz, K., Xevi, E.: A GIS-based sensivity analysis of multi-criteria weights. In: Procs. of 18th World IMACS / MODSIM Congress, Cairns, Australia, July 13-17 (2009), http://mssanz.org.au/modsim09
Cucchiara, P., Prati, A., Vezzani, R.: An Intelligent Surveillance System for Dangerous Situation Detection in Home Environments, Dll, University di Mondera e Reggio Emillia, Italy (2004), http://imagelab.ing.unimo.it/pubblicazioni/pubblicazioni/ia2004.pdf
Deng, F., Zhang, Z., Zhang, J.: Construct 3D City Model by Multi-Sensor Data. Wuhan University, China (2003)
Danese, M., Casas, G.L., Murgante, B.: 3D simulations in environmental impact assessment. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008, Part I. LNCS, vol. 5072, pp. 430–443. Springer, Heidelberg (2008)
Frueh, C., Zakhor, A.: Constructing 3D City Models by Merging Aerial and Ground Views. IEEE Computer Graphics and Applications 23(6), 52–61 (2003)
Frueh, C., Jain, C., Zakhor, A.: Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images. International Journal of Computer Vision 61(2), 159–184 (2005)
Idlahcen, S., Mees, L., Roze, C., Girasole, T., Blaisot, J.B.: Time gate, optical layout, and wavelength effects on ballistic imaging. Journal of the optical society of America A-optics image science and vision 26(9), 1995–2004 (2009)
Lilja, D.: Ballistic Effects of Altitude, Temperature and Humidity. Lilja Precision Rifle Barrels Inc., United States of America (2002)
Kolbe, T.H., Groger, G.: Towards Unified 3D City Models. Institute of Cartography and Geoinformation, University of Bonn, Germany (2005)
Maune, D.F.: Digital Elevation Model Technologies and Applications: The DEM Users Manual. The American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland (2001)
Muller, P., Zeng, G., Wonka, P., Van Gool, L.: Image-based procedural modeling of facades. ACM Transactions on Graphics (TOG) 26(3) (July 2007)
Garg, K., Nayar, S.K.: Vision and rain. International Journal of Computer Vision 75(1), 3–27 (2007)
Ramos, B., Panagopoulos, T.: The Use of GIS in Visual Landscape Management and Visual Impact Assessment of A Quarry in Portugal. In: International Conference on Environmental and Mineral Processing, vol. 1, pp. 73–78. Tzek Republic (2004)
Stamos, I., Liu, L., Chen, C., Wolberg, G., Yu, G., Zokai, S.: Integrating Automated Range Registration with Multiview Geometry for the Photorealistic Modeling of Large-Scale Scenes. International Journal of Computer Vision 78(2-3), 237–260 (2008)
Sterren, W.V.D.: Terrain Reasoning For 3D Action Games. CGF-AI,Veldhoven, The Netherlands (2001)
Sun, W.W., Liu, C., Wu, H.B.: Accuracy evaluation and gross error detection in Digital Elevation Models based on LIDAR data. In: Proceedings of the 8th symposium on spatial accuracy assessment in natural resources and environment sciences, vol. II, pp. 127–133 (2008)
Stoltz, V.: DTSS and Visibility Models. Combat Terrain Information System. Presentation Slide (2003), www.ctis.com (cited date: July 21, 2007)
Takase, Y., Sho, N., Sone, A., Shimiya, A.: Automatic Generation of 3D City Models And Related Applications, CAD Centre Corporation, Japan (2002)
Zhou, Q.Y., Neumann, U.: Fast and extensible building modeling from airborne LiDAR data. In: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems, Irvine, California, November 05-07 (2008)
Zhou, G., Song, C., Simmers, J., Cheng, P.: Urban 3D GIS from LiDAR amd digital aerial images. Computers and Geosciences 30, 345–353 (2004)
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Hashim, M., Marghany, M., Mahmud, M.R., Anuar, M.H. (2010). Utilization of LiDAR and IKONOS Satellite Data for Security Hotspot Analysis Based on Realism of 3D City Model. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_26
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DOI: https://doi.org/10.1007/978-3-642-12156-2_26
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