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Prof. Dr. Ir Christiaan PERNEEL

Full Professor

Christiaan.Perneel@rma.ac.be     Academic details

Research projects

MAUPP

Description:

MAUPP aims to improve our spatial understanding, prediction and forecast of urbanization and urban population in Africa through the use of remote sensing and spatial modelling. The project addresses two specific objectives:

- Produce an urban expansion model at moderate spatial resolution for African cities. This objective will be achieved through i) using HRRS and VHRRS (both optical and radar) to delineate urban extent of a set of cities, compare the accuracy and limitations of the obtained features and optimize the method based on HRRS, ii) using of the best methods identified using HRRS to generate a database of land cover change to urban over the last 30 years across a large number of cities in Africa, iii) using this database to build urban expansion models, evaluate their forecasting accuracy, and apply them to forecast the future distribution of the major urban extents in Africa.

- Understand and predict intra-urban variations in human population density in Afr

GEPATAR

GEPATAR focuses on the collection of data necessary for future preservation activities. For the majority of Belgian people, the country geologically speaking is more or less safe: no volcano, no major earthquake, and no major landslide. However, neo-ground movements are occurring and they are originated from industrial exploitation of the subsoil, urbanization and (des) industrialization processes, and may also be induced by several local phenomena. Ground movements may significantly affect the buildings and contribute to degradation of their structural stability. GEPATAR will develop tools to explore two large federal archive facilities: the RBINS satellite archive and the KIK-IRPA patrimony heritage data base. Dedicated permanent scattering tool will allow the efficient exploitation of hundreds satellite SAR archive data for ground movement mapping with millimeters accuracy. This risk map will permit a geographical search for selected heritage buildings that might be in risk at the K

C4/23

The general objective of this study is to investigate the potential benefit of fused high spatial and spectral resolution imagery and 3D airborne data for several defence applications in urban and harbour areas. The study will evaluate the improvement of the situation awareness and surveillance capability in complex urban and harbour areas using the addressed STARs.

Publications

  1. D. Borghys, M. Idrissa, M. Shimoni, O. Friman, M. Axelsson, M. Lundberg, and C. Perneel. Fusion of multispectral and stereo information for unsupervised target detection in very high resolution airborne data. In Proc. SPIE Signal Processing, Sensor Fusion, and Target Recognition XXII, SPIE Vol 8745, Baltimore, April 2013, 2013.
  2. Dirk C Borghys, Mahamadou Idrissa, Michal Shimoni, Ola Friman, Maria Axelsson, Mikael Lundberg, and Christiaan Perneel. Fusion of multispectral and stereo information for unsupervised target detection in VHR airborne data. In SPIE Defence and Security, Baltimore, 2013. SPIE.
  3. M Shimoni, R Haelterman, and C Perneel. SHORT TEMPORAL CHANGE DETECTION IN COMPLEX URBAN AREA. In International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, 2013. IEEE.
  4. M. Shimoni, M. Idrissa, D. Borghys, T. Haavardsholm, T-O. Opsahl, and C. Perneel. Urban features classification using 3D hyperspectral data. In 5th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Florida, USA, June 2013, 2013.
  5. Michal Shimoni, Mahamadou Idrissa, Dirk Borghys, Trym Haavardsholm, Thomas-Olsvik Opsahl, and Christiaan Perneel. URBAN FEATURES CLASSIFICATION USING 3D HYPERSPECTRAL DATA. In IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013.
  6. D Borghys, V Achard, I Kasen, and C Perneel. Comparative evaluation of hyperspectral anomaly detection methods in scenes with diverse complexity. In Proc. OPTRO2012 Symposium on Optronics in Defence and Security, Paris, France, February 2012.
  7. D Borghys, A Bouaraba, and C Perneel. Activity Monitoring in a Commercial Harbor using Multitemporal Repeat-Pass {SAR} Data. In Proc. IGARSS, Munich, Germany, 2012.
  8. D Borghys, A Bouaraba, and C Perneel. Combination of different SAR modalities for geospatial intelligence applications in a harbor environment. In SPIE Proc. on Algorithms for Synthetic Aperture Radar Imagery XIX, volume 8394, Baltimore, USA, 2012.
  9. D Borghys, I Kasen, V Achard, and C Perneel. Comparative evaluation of hyperspectral anomaly detectors in different types of background. In SPIE Proc. on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, volume 8390, Baltimore, USA, 2012.
  10. Dirk Borghys, Ingebjørg Kå sen, Véronique Achard, and Christiaan Perneel. Hyperspectral Anomaly Detection: Comparative Evaluation in Scenes with Diverse Complexity. Journal of Electrical and Computer Engineering, 2012:1-16, 2012.
  11. M Shimoni and C Perneel. DEDICATED CLASSIFICATION METHOD FOR THERMAL HYPERSPECTRAL IMAGING. In International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2012.
  12. Michal Shimoni, Xavier Briottet, Manuel Cubero-castan, Christiaan Perneel, Véronique Achard, Jocelyn Chanussot, Onera Dota, Avenue Edouard Belin, F-Toulouse, and F-Saint Martin. PERFORMANCE ANALYSIS OF UNSUPERVISED UNMIXING MODELS FOR THERMAL HYEPSRPECTRAL. In IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Beijin, 2012. IEEE.
  13. D Borghys, V Achard, I Kasen, and C Perneel. Evaluation of the sub-pixel performance of anomaly detectors. In 3rd IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, Portugal, June 2011.
  14. D Borghys, V Achard, S R Rotman, N Gorelik, and C Perneel. Hyperspectral anomaly detection: a comparative evaluation of methods. In Proc. XXX URSI General Assembly and Scientific Symp. of the Int. Union of Radio Science, Istanbul, Turkey, August 2011.
  15. M. Shimoni, X. Briottet, C. Perneel, B. Tanguy, Y. M. Frédéric, and E. Ben-Dor. Validation of physical unmixing model in the radiative domain. In Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. IEEE, 2011.
  16. M Shimoni, P Lagueux, C Perneel, and J-P Gagnon. Detection of occluded targets using thermal imaging spectroscopy. In NATO MSS. IEEE, 2011.
  17. M Shimoni, G Tolt, C Perneel, and J Ahlberg. DETECTION OF VEHICLES IN SHADOW AREAS. In IEEE, editor, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Lisbon, 2011.
  18. M. Shimoni, G. Tolt, C. Perneel, and J. Ahlberg. Detection of vehicles in shadow areas using combined hyperspectral and lidar data. In International Geoscience and Remote Sensing Symposium (IGARSS), Lisbon, 2011. IEEE.
  19. D Borghys and C Perneel. Study of the Influence of Pre-Processing on Local Statistics-Based Anomaly Detector Results. In 2nd IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Reykjavik, Iceland, June 2010.
  20. M Shimoni, R Heremans, and C Perneel. DETECTION OF SMALL CHANGES IN COMPLEX URBAN AND INDUSTRIAL SCENES USING IMAGING SPECTROSCOPY. In International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2010.
  21. M Shimoni, C Perneel, and J-P Gagnon. DETECTION OF OCCLUDED TARGETS USING THERMAL IMAGING SPECTROSCOPY. In IEEE, editor, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Reykjavik, 2010.
  22. D Borghys, E Truyen, M Shimoni, and C Perneel. Anomaly detection in complex environments: Evaluation of the inter- and intra-method consistency. In 1st IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, France, August 2009.
  23. D Borghys, E Truyen, M Shimoni, and C Perneel. Anomaly Detection in Hyperspectral Images of Complex Scenes. In Earsel Symposium, Chania, Greece, June 2009.
  24. M Shimoni, D. Borghys, R Heremans, C Perneel, and M Acheroy. Fusion of PolSAR and PolInSAR data for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 11:169-180, June 2009.
  25. M Shimoni, D Borghys, R Heremans, C Perneel, and M Acheroy. Fusion of PolSAR and PolInSAR data for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 11:169-180, 2009.
  26. M Shimoni, R Heremans, D Borghys, and C Perneel. Change Detection in Complex Industrial and Urban Scenes using VNIR and TIR Hyperspectral Imagery. In 6th EARSeL SIG IS Workshop, Tel Aviv, Israel, March 2009.
  27. M Shimoni, D. Borghys, R Heremans, C Perneel, and M Acheroy. Land-cover classification using fused PolSAR and PolInSAR. In European Conference on Synthetic Aperture Radar (EUSAR), Friederichshafen, Germany, June 2008.
  28. D Borghys and C Perneel. A Supervised Classification of Multi-Channel High-Resolution SAR Data. Earsel eProceedings, 6(1):26-37, 2007.
  29. D Borghys, Michal Shimoni, G Degueldre, and C Perneel. Improved object recognition by fusion of hyperspectral and SAR data. In 5th EARSeL SIG IS workshop on Imaging Spectroscopy: Innovation in environmental research, Bruges, Belgium, April 2007.
  30. D Borghys, Michal Shimoni, and C Perneel. Change detection in urban scenes by fusion of SAR and Hyperspectral data. In Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, volume 6749, Florence, Italy, September 2007.
  31. D Borghys and C Perneel. Supervised Classification of Multi-Channel High-Resolution SAR Data. In New Developments and Challenges in Remote Sensing, Warshau, May 2006.
  32. D Borghys, Michal Shimoni, and C Perneel. Semi-Automatic Hyperspectral Image Classification of Urban Areas using Logistic Regression. In 1st EARSeL SIG Urban Remote Sensing Workshop Urban Remote Sensing - Challenges and Solutions, Berlin, GE, March 2006.
  33. D Borghys, Y Yvinec, C Perneel, A Pizurica, and W Philips. Supervised Feature-Based Classification of Multi-Channel SAR Images. Pattern Recognition Letters: Special Issue on Pattern Recognition for Remote Sensing, 27(4):252-258, 2006.
  34. D Borghys, Michal Shimoni, and C Perneel. Supervised classification of hyperspectral images using a combination of spectral and spatial information. In SPIE Conference on Image And Signal Processing for Remote Sensing XI; Bruges, volume 5982, September 2005.
  35. D Borghys, C Perneel, M Keller, A Pizurica, and W Philips. Supervised Feature-Based Classification of Multi-Channel SAR Images using Logistic Regression. In European Conference on Synthetic Aperture Radar (EUSAR), Ulm, Germany, May 2004.
  36. D Borghys, Y Yvinec, C Perneel, A Pizurica, and W Philips. Hierarchical Supervised Classification of Multi-Channel SAR Images. In 3rd Int. Workshop on Pat. Recog. in Remote Sensing (PRRS'04), Kingston-upon-Thames, UK, August 2004.
  37. D Borghys and C Perneel. Combining Multi-Variate Statistics and Dempster-Shafer Theory for Edge Detection in Multi-Channel SAR Images. In 1st Iberian Conference on Pattern Recognition and Image Analysis, volume LNCS 2652, pages 97-107, Pto. d'Andratx, Mallorca, Spain, June 2003.
  38. D Borghys and C Perneel. Edge Detection in Multi-Channel SAR Images. In 7th Conference on Quantitatve Methods for Decision Making, Brussels, Belgium, January 2003.
  39. D Borghys, C Perneel, A Pizurica, and W Philips. Combining Multi-Variate Statistics and Speckle Reduction for Line Detection in Multi-Channel SAR Images. In Proc. of the Conference on SAR Image Analysis, Modelling and Techniques VIII, volume 5236, September 2003.
  40. D Borghys, V Lacroix, and C Perneel. Edge and Line Detection in Polarimetric SAR Images. In International Conference on Pattern Recognition, Quebec, Canada, August 2002.
  41. D Borghys, C Perneel, and M Acheroy. Automatic Detection of Built-Up Areas in High-Resolution Polarimetric SAR Images. Pattern Recognition Letters: Special Issue on Pattern Recognition for Remote Sensing, 23(9):1085-1093, 2002.
  42. D Borghys, C Perneel, and M Acheroy. Fusion of Multi-Variate Edge Detectors for High-Resolution Polarimetric SAR images. In European Conference on Synthetic Aperture Radar (EUSAR), pages 145-149, Köln, Germany, June 2002.
  43. D Borghys, C Perneel, and M Acheroy. A Hierarchical Approach for Registration of High-Resolution Polarimetric SAR Images. In SPIE Conference on Image And Signal Processing for Remote Sensing VII; Toulouse, volume 4541, pages 11-22, September 2001.
  44. D Borghys, C Perneel, and M Acheroy. Interpretation of Multi-Aspect High-Resolution Polarimetric SAR Images. In SPIE Conference on SAR Image Analysis, Modelling and Techniques IV; Toulouse, September 2001.
  45. D Borghys, C Perneel, and M Acheroy. A Multi-Variate Contour Detector for High-Resolution Polarimetric SAR Images. In International Conference on Pattern Recognition, Barcelona, volume 3, pages 650-655, September 2000.
  46. D Borghys, C Perneel, and M Acheroy. Contour Detection in High-Resolution Polarimetric SAR Images. In SPIE Conference on SAR Image Analysis,Modelling and Techniques III; Barcelona, September 2000.
  47. D Borghys, C Perneel, and M Acheroy. Detection of Built-Up Areas in Polarimetric SAR Images. In 1st Int. Workshop on Pat. Recog. in Remote Sensing; Andorra, September 2000.
  48. D Borghys, C Perneel, E Nyssen, and M Acheroy. Road Detection on Digitized Maps. In International Symposium on Pattern Recognition: In Memoriam Pierre Devijver, February 1999.
  49. D. Borghys, P. Druyts, W Mees, C Perneel, and M Acheroy. SAHARA: Final Report: Evaluation. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, 1998.
  50. D Borghys, C Perneel, and M Acheroy. SAHARA: Final Report of WP1: Image Database and Colateral Database. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, 1998.
  51. D Borghys, P Verlinde, C Perneel, and M Acheroy. Multi-Level Data Fusion for the Detection of Targets using multi-spectral Image Sequences. SPIE/Optical Engineering, Special Issue on Sensor Fusion, 37(2), 1998.
  52. P. Druyts, D. Borghys, C. Perneel, and M. Acheroy. Sahara: Final report of WP3: Image processing tools. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, Belgium, 1998.
  53. Pascal Druyts, Wim Mees, Dirk Borghys, Youssef Ouaghli, Christiaan Perneel, Marc Acheroy, and J-L Valero. SAHARA - semi-automatic help for aerial region analysis, 'system description and final evaluation'. In Third NATO/IRIS Joint Symposium, Quebec City, Quebec, 1998.
  54. Wim Mees and Christiaan Perneel. Advances in computer assisted image interpretation. Informatica (Ljubljana), 22(2):231-243, 1998.
  55. W Mees, C Perneel, and M Acheroy. SAHARA: Final Report of WP2: High-Level System. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, 1998.
  56. Y Ouaghli, C Perneel, and M Acheroy. SAHARA: Final Report of WP4: Graphical User Interface. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, 1998.
  57. D Borghys, P Verlinde, C Perneel, and M Acheroy. Long Range Target Detection in a Cluttered Environment using Multi-Sensor Image Sequences. In Proceedings on Signal Processing, Sensor Fusion and Target Recognition IV - SPIE - USA (Orlando), April 1997.
  58. Pascal Druyts, Wim Mees, Dirk Borghys, Christiaan Perneel, Marc Acheroy, and J-L Valero. SAHARA - semi-automatic help for aerial region analysis. In Joint Workshop 'Sensors and Mapping from Space` of The International Society for Photogrametry and Remote Sensing (ISPRS)., volume 17, pages 267-274, Hannover, Germany, 1997.
  59. P Verlinde, D Borghys, C Perneel, and M Acheroy. Data Fusion for Long Range Target Acquisition. In Proceedings of the Sensor and Propagation Panel's (formerly AGARD) 7th symposium on Multi-Sensor Systems and Data Fusion for Telecommunications, Remote Sensing and Radar, Lisbon, Portugal, September 1997.
  60. D Borghys, C Perneel, W Mees, and M Acheroy. STANAG 3596 based Multispectral Information System - Feasibility Study. Royal Military Academy, Brussels, 1996.
  61. Pascal Druyts and Christian Perneel . A complete scheme for short range identification of armoured vehicle on IR images. In Defence Optics 96, Brussels, 1996. Promoptica.
  62. D Borghys, C Perneel, and M Acheroy. Long Range Automatic Detection of Small Targets in Sequences of Noisy Thermal Infrared Images. In Proceedings on Signal and Data Processing of Small Targets - SPIE - USA (Orlando), April 1994.