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Abstract

This work addresses the role of multifunctional sensor systems in defence and security applications. The challenging topic of imaging sensors and their use in object detection is explored. We give a brief introduction to selected sensors operating at various wavelength bands in the electromagnetic spectra. Focus here is on sensors generating time or range resolved data and spectral information. The sensors presented here are imaging laser radar, multi- and hyper-spectral sensors and radar systems. For each of these imaging systems, we present and discuss analysis and processing of the multidimensional (n-dimensional) data obtained from these sensors. Moreover, we will discuss the benefits of using collaborative sensors, based on results from several ongoing Swedish research projects aiming to provide end-users of such advanced sensor systems with new and enhanced capabilities. Major applications of this kind of systems are found in the areas of surveillance and situation awareness, where the complementary information provided by the imaging systems proves useful for enhanced systems capacity. Typical capabilities that we are striving for are, e.g., robust identification of objects being possible threats on a sub-pixel basis from spectral data, or penetrating obscurant such as vegetation or certain building construction materials. Hereby we provide building blocks for solutions to, e.g., detecting unexploded ammunition or mines and identification of suspicious behavior of persons. Furthermore, examples of detection, recognition, identification or understanding of small, extended and complex objects, such as humans, will be included throughout the chapter. We conclude with some remarks on the use of imaging sensors and collaborative sensor systems in security and surveillance.

Keywords

Full 3-D imaging gated viewing image analysis image processing imaging sensors laser radar multi- and hyper-spectral sensors multi-sensor systems radar systems multidimensional data synthetic aperture radar 

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References

  1. 1.
    J. Ahlberg, L. Klasén, C. Grönwall, M. Ulvklo and E. Jungert (2003) Automatic target recognition on a multi-sensor platform, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis, pp. 93–96Google Scholar
  2. 2.
    J. Ahlberg, T. Chevalier, P. Andersson and L. Klasén (2004) Target detection in multispectral imagery, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis, pp. 50–53Google Scholar
  3. 3.
    J. Ahlberg, T. Horney, E. Jungert, M. Folkesson, C. Grönwall, L. Klasén, K. Silvervarg and M. Ulvklo (2004) An information system for automatic target recognition, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications VIII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 5434Google Scholar
  4. 4.
    J. Ahlberg and L. Klasén (2005) Surveillance systems for urban crisis management, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis Google Scholar
  5. 5.
    S. Ahlberg, M. Elmqvist, Å . Persson and U. Söderman (2004) Three-dimensional environment models from airborne laser radar data, Laser Radar Technology and Applications VII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 5412Google Scholar
  6. 6.
    P. Andersson (2003) Automatic target recognition from laser radar data. Applications to gated viewing and airborne 3D laser radar FOI-R–0829-SE, Defence Research Agency, SwedenGoogle Scholar
  7. 7.
    P. Andersson, L. Klasén, M. Elmqvist, M. Henriksson, T. Carlsson and O. Steinvall (2003) Long range gated viewing and applications to target recognition, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis, pp. 89–92Google Scholar
  8. 8.
    P. Andersson and G. Tolt (2007) Detection of vehicles in a forest environment using local surface flatness estimation in 3-D laser radar data, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis, pp. 6572Google Scholar
  9. 9.
    L. Andrews and R. Phillips (1998) Laser Beam Propagation Through Random Media, SPIE PressGoogle Scholar
  10. 10.
    J. Bijhold, Z. Geradts and L. Klasén (2004) Forensic imaging 2001–2004: A review, Proceedings of the 14th Interpol Forensic Science Symposium Google Scholar
  11. 11.
    S. Bramble, D. Compton and L. Klasén (2001) Forensic image analysis, Proceedings of the 13th Interpol Forensic Science Symposium Google Scholar
  12. 12.
    X. Briottet, Y. Boucher, A. Dimmler, A. Malaplate, A. Cini, M. Diani, H. Beckman, P. Schwering, T. Skauli, I. Kasen, I. Renhorn, L. Klasén, M. Gilmore and D. Oxford (2006) Military applications of hyperspectral imagery, Targets and Backgrounds XII: Characterization and Representation, SPIE Press, vol. 6239Google Scholar
  13. 13.
    T. Carlsson, O. Steinvall and D. Letalick (2001) Signature simulation and signal analysis of 3-D laser radar FOI-R—0163-SE, Defence Research Agency, SwedenGoogle Scholar
  14. 14.
    T. Chevalier, O. Steinvall and H. Larsson (2007) Performance of laser penetration through forest vegetation, Laser Radar Technology and Applications XII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 6550Google Scholar
  15. 15.
    S. Der, B. Redman and R. Chellappa (1997) Simulation of error in optical radar range measurements, Appl. Optics 36(27):6869–6874CrossRefGoogle Scholar
  16. 16.
    X. Dupuis, P. Dreuillet, L. M. H. Ulander and A. Gustavsson (2006) Multi-pass and multi-date at P and L bands: Ground penetration and change detection, Proceeding of EUSAR 2006 Google Scholar
  17. 17.
    (2006) P.-O. Frölind, L. M. H. Ulander and D. Murdin fast factorised backprojection algorithm for processing of SAR data, Proceeding of IoA International Conference on Synthetic Aperture Sonar and Synthetic Aperture Radar, pp. 168–175Google Scholar
  18. 18.
    D. M. Gavrila (1999) Visual analysis of human movement: A survey. CVIU 73(1):82–98Google Scholar
  19. 19.
    C. Grönwall, T. Carlsson and F. Gustavsson (2003) Performance analysis of measurement error regression in direct-detection laser radar imaging, Proceedings of International Conference on Acoustics, Speech and Signal Processing, April 6–10, 2003, Nice, FranceGoogle Scholar
  20. 20.
    C. Grönwall, T. Chevalier, Å . Persson, M. Elmqvist, S. Ahlberg, L. Klasén and P. Andersson (2004) Methods for recognition of natural and man-made objects using laser radar data, Laser Radar Technology and Applications VII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 5412Google Scholar
  21. 21.
    C. Grönwall and A. Linderhed (2007) Statistical approaches to mine detection using optical sensors, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis, pp. 7376Google Scholar
  22. 22.
    A. Gustavsson, L. M. H. Ulander, M. Karlsson and M. Lundberg (2005) Employing UAVs to augment ISR capabilities, Proceeding of RVK 05, Radiovetenskap och kommunikation, Sweden, pp. 221–226Google Scholar
  23. 23.
    A. Jänis, S. Nilsson, L.-G. Huss, M. Gustafsson and A. Sume (2004) Through-the-wall imaging measurements and experimental charachterization of wall materials, Military remote sensing, London, 27–28 October 2004Google Scholar
  24. 24.
    L. Klasén (1999) Forensic Image Analysis, (ed.) R. S. Frank and H. W. Peel, Proceedings of the 12th Interpol Forensic Science Symposium, pp. 261–302Google Scholar
  25. 25.
    L. Klasén (2002) Image sequence analysis of complex objects — Law enforcement and defence applications, Linköping Studies in Science and Technology, Thesis No 762, 2002, University of Linköping, Sweden Google Scholar
  26. 26.
    L. Klasén, T. Chevalier, H. Larsson, P. Andersson and O. Steinvall (2004) 3D imaging by laser radar and applications in object recognition, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis, pp. 1–4Google Scholar
  27. 27.
    L. Klasén, P. Andersson, H. Larsson, T. Chevalier and O. Steinvall (2004) Aided target recognition from 3-D laser radar data Laser Radar Technology and Applications VII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 5412Google Scholar
  28. 28.
    L. Klasén (2005) Urban Warfare to see without being seen from a sensor field of view. Swedish J. Military Technol., vol. 3–4Google Scholar
  29. 29.
    L. Klasén (2007) Analysis of multidimensional data from advanced sensor systems, Proceeding of Swedish Society of Automated Image Analysis Symposium on Image Analysis Google Scholar
  30. 30.
    M. Lundberg, L. M. H. Ulander, W. E. Pierson and A. Gustavsson (2006) A challenge problem for detection of targets in foliage, Algorithms for Synthetic Aperture Radar Imagery XIII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 6237Google Scholar
  31. 31.
    T. B. Moeslund and E. Granum (2001) A survey of computer vision-based human motion capture. CVIU 81(3):231–268Google Scholar
  32. 32.
    N. Sebe, M. Lew, I. Cohen, Y. Sun, T. Gevers and T. S. Huang (2004) Authentic facial expression analysis, Proceeding of International Conference on Automatic Face and Gesture Recognition Google Scholar
  33. 33.
    J. R. Rasmusson, M. Blom, B. Flood, P.-O. Frölind, A. Gustavsson, T. Jonsson, B. Larsson, G. Stenstrm and L. M. H. Ulander (2007) Bistatic VHF and UHF SAR for urban environments. Radar Sensor Technology XI, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 6547Google Scholar
  34. 34.
    R. D. Richmond (2004) Eye safe laser radar focal plane array for three-dimensional imaging Laser Radar Technology and Applications VII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 5412Google Scholar
  35. 35.
    H. Sidenbladh, J. Ahlberg and L. Klasén (2005) New systems for urban suirveillance, FOI-R–1668-SE, Defence Research Agency, SwedenGoogle Scholar
  36. 36.
    (1998) T. Starner, J. Weaver and A. Pentland real-time American sign language recognition using desk and wearable computer based video. PAMI 20(12):1371–1375Google Scholar
  37. 37.
    O. Steinvall (1997) Theory for laser systems performance modelling, FOA-R–97-00599-612– SE-SE, Defence Research Establishment, SwedenGoogle Scholar
  38. 38.
    O. Steinvall (2000) Waveform simulation for 3-D sensing laser radar, FOA R 00 01530 612, 408 SE, Defence Research Agency, SwedenGoogle Scholar
  39. 39.
    O. Steinvall and T. Carlsson (2001) Three-dimensional laser radar modelling, Laser Radar Technology and Applications IV, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 4377, pp. 23–34.Google Scholar
  40. 40.
    O. Steinvall (2002) Effects of target shape and reflection on laser radar cross sections, Appl. Optics 39(24):4381–4391CrossRefGoogle Scholar
  41. 41.
    O. Steinvall, T. Carlsson, C. Grönwall, H. Larsson, P. Andersson and L. Klasén (2004) Laser based 3-D imaging new capabilities for optical sensing, FOI-R–0856-SE, Defence Research Agency, SwedenGoogle Scholar
  42. 42.
    O. Steinvall, L. Klasén, T. Carlsson, P. Andersson, H. Larsson, M. Elmquist and M. Henriksson (2004) Grindad avbildning — fördjupad studie In Swedish FOI-R–0991–SE, Defence Research Agency, SwedenGoogle Scholar
  43. 43.
    O. Steinvall, L. Klasén, C. Grönwall, U. Söderman, S. Ahlberg, å. Persson, M. Elmqvist, H. Larsson, D. Letalick, P. Andersson, T. Chevalier and M. Henriksson (2004) 3 D laser sensing at FOI — Overview and a system perspective, Laser Radar Technology and Applications VII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 5412Google Scholar
  44. 44.
    O. Steinvall, H. Larsson, F. Gustafsson, P. Andersson, T. Chevalier, Å . Persson, U. Söderman, S. Ahlberg, D. Letalick and L. Klasén (2004) Characterizing targets and backgrounds for 3 D laser radars Military remote sensing, London, 27–28, October 2004, vol. 5613, pp. 51–66Google Scholar
  45. 45.
    O. Steinvall (2005) Review of laser sensing devices and systems Technologies for Optical Countermeasures II; Femtosecond Phenomena II; and Passive Millimetre-Wave and Terahertz Imaging II, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 5989Google Scholar
  46. 46.
    O. Steinvall (2007) Laser systems and technology for surface mine detection and classification — A literature updateand performance discussion, FOI-R–2269–SE, Defence Research Agency, SwedenGoogle Scholar
  47. 47.
    O. K. Steinvall, P. Andersson, M. Elmquist and M. Tulldahl (2007) Overview of range gated imaging at FOI, Infrared Technology and Applications XXXIII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 6542Google Scholar
  48. 48.
    O. Steinvall, T. Chevalier, P. Andersson and M. Elmqvist (2007) Performance modeling and simulation of range-gated imaging systems, Infrared Technology and Applications XXXIII, Proceedings of the International Society for Optical Engineering, SPIE Press, vol. 6542Google Scholar
  49. 49.
    G. Tolt, D. Westberg and C. Grónwall (2008) A sensor fusion model for detection of surface laid mines, Proceeding of Swedish Society of Automated Image Analysis Google Scholar
  50. 50.
    L. M. H. Ulander, H. Hellsten and G. Stenström (2003) Synthetic-aperture radar processing using fast factorized back-projection. IEEE Transactions on Aerospace and Electronic Systems 3(39):760–776CrossRefGoogle Scholar
  51. 51.
    L. M. H. Ulander and T. Martin (2006) Bistatic clutter suppression in low-frequency SAR, Proceeding of EUSAR 2006 Google Scholar
  52. 52.
    L. Wang, W. Hu and T. Tan (2003) Recent developments in human motion analysis. Pattern Recognition 36(3):585–601CrossRefGoogle Scholar
  53. 53.
    D. Westberg (2007) A sensor fusion method for detection of surface laid land mines, Master Thesis, LITH-ISY-EX07/4021SE, Linköpings University, SwedenGoogle Scholar

Copyright information

© Springer Science + Business Media B.V. 2009

Authors and Affiliations

  1. 1.Information CodingDepartment of Electrical Engineering, Linköping UniversitySweden

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