Fast surface height determination using multi-angular worldView-2 ortho ready urban scenes

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 1, 2012, Pages 80-88

  Lemoine, Guido ^a   Bielski, Conrad M ^a   Syryczyński, Jacek ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

Building height; correlation; cuFFT; GPU; parallax; surface elevation; urban scenes; WorldView 2

Indexed keywords

BUILDING HEIGHT; CUFFT; GPU; PARALLAX; SURFACE ELEVATION; URBAN SCENES; WORLDVIEW-2;

DATA FUSION; OPTICAL CORRELATION; PROGRAM PROCESSORS; TEMPLATE MATCHING;

GEOMETRICAL OPTICS;

CORRELATION; ELEVATION; PANCHROMATIC IMAGE; SATELLITE IMAGERY; SATELLITE SENSOR;

EID: 84857758604     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2011.2180366     Document Type: Article

References (26)

1. M. Pesaresi, D. Ehrlich, I. Caravaggi, M. Kauffmann, and C. Louvrier, "Toward global automatic built-up area recognition using optical VHR imagery," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS), vol. 4, no. 4, pp. 923-934, Dec. 2011.
2. C. Corbane, K. Saito, L. Dell'Oro, S. Gill, B. Piard, C. Huyck, T. Kemper, G. Lemoine, R. Spence, R. Krishnan, E. Bjorgo, O. Senegas, F. Ghesquiere, D. Lallemant, G. Evans, R. Gartley, J. Toro, S. Ghosh, W. Svekla, B. Adams, and R. Eguchi, "A comprehensive analysis of building damage in the January 12, 2010 Mw7 Haiti earthquake using high-resolution satellite and aerial imagery," Photogramm. Eng. Remote Sens., vol. 77, Special Issue on Haiti Earthquake, no. 10, pp. 997-1009, Oct. 2011.
3. F. Chen, G. M. Brown, and M. Song, "Overview of three-dimensional shape measurement using optical methods," Opt. Eng., vol. 39, no. 1, pp. 10-22, Jan. 2000. (Pubitemid 30553264)
4. 2011 IEEE-DigitalGlobe Data Fusion Contest. IEEE Geoscience and Remote Sensing Society. Dec. 2010 [Online]. Available: http://www. grss-ieee.org/2011- ieee-digitalglobe-data-fusion-contest/
5. A. Criminisi, Accurate VisualMetrology From Single andMultiple Uncalibrated Images. London, U.K.: Springer-Verlag, 2001.
6. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cambridge, U.K.: Cambridge Univ. Press, 2003.
7. N. Lazaros, G. C. Sirakoulis, and A. Gasteratos, "Review of stereo vision algorithms: From software to hardware," Int. J.Optomechatron., vol. 2, no. 4, pp. 435-462, 2008.
8. C. Zhang and C. Fraser, "Generation of digital surfacemodel from high resolution satellite imagery," Int. Archives Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVII, pp. 785-790, 2008.
9. S. Eckert and T. Hollands, "Comparison of automatic DSM generation modules by processing IKONOS stereo data of an urban area," IEEE JSTARS, vol. 3, no. 2, pp. 162-167, Jun. 2010.
10. J. D. Owens, M. Houston, D. Luebke, S. Green, J. E. Stone, and J. C. Philips, "GPU computing," Proc. IEEE, vol. 96, no. 5, pp. 879-899, 2008.
11. C. Bielski, G. Lemoine, and J. Syryczynski, "Accessible high performance computing solutions for near real-time image processing for time critical applications," in Image and Signal Processing for Remote Sensing XV, 2009, vol. 7477.
12. NVIDIA, Product Specification [Online]. Available: http://www. nvidia.com/object/personal-supercomputing.html
13. NVIDIA, CUDA Libraries [Online]. Available: http://developer. nvidia.com/technologies/libraries
14. Thrust Library [Online]. Available: http://code.google.com/p/thrust/
15. J. P. Lewis, "Fast template matching," in Proc. Vision Interface 95, Canadian Image Processing and Pattern Recognition Society, 1995, pp. 120-123.
16. NVIDIA, cuFFT Library [Online]. Available: http://developer.nvidia. com/cufft
17. T. Updike and C. Comp, Radiometric Use of WorldView-2 Imagery, DigitalGlobe, USA, 2010 [Online]. Available: http://www.digitalglobe. com/downloads/spacecraft/Radiometric-Use-of-World-View-2-Imagery.pdf
18. DigitalGlobe, Product Specification [Online]. Available: http://www. digitalglobe.com/index.php/48/Products?product-id=23
19. P. Meixner and F. Leberl, "3-dimensional building details from aerial photography for internet maps," Remote Sensing, pp. 721-751, 2011, MDPI.
20. A. Darabiha, W. J. MacLean, and J. Rose, "Reconfigurable hardware implementation of a phase-correlation stereo algorithm," Machine Vision and Applications, vol. 17, no. 2, pp. 116-132, 2006.
21. W. Van Belle, "An adaptive filter for the correct localization of subimages: FFT based subimage localization requires image normalization to work properly," Signal Process., p. 11, 2007, Yellowcouch.
22. C. D. Kuglin and D. C. Hines, "The phase correlation image alignment method," in Proc. IEEE 1975 Int. Conf. Cybernet. Society, New York, 1975, pp. 163-165.
23. M. G. Kendall and A. Stuart, The Advanced Theory of Statistics, Vol. 2: Inference and Relationships. London, U.K.: Griffin, 1979.
24. T. Krauss and P. Reinartz, "Refinement of urban digital elevation models from very high resolution stereo satellite images," in ISPRS Hannover Workshop 2009, 2009, Commission I, WG 4.
25. D. A. Aldred and J. Wang, "A method for obtaining and applying classification parameters in object-based urban rooftop extraction from VHR multispectal images," Int. J. Remote Sens., vol. 32, no. 10, pp. 2811-2823, 2011.
26. B. S. Reddy and B. N. Chatterji, "An FFT-based technique for translation, rotation, and scale-invariant image registration," IEEE Trans. Image Process., vol. 5, no. 8, pp. 1266-1271, Aug. 1996. (Pubitemid 126776770)