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Dr Dirk BORGHYS

    Academic details

Research projects

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.

RESPOND-IS

This project PROVIDES an external expertise to ?Respond? project of the GMES framework.

Respond is an alliance of European and International organisations working with the humanitarian community to improve access to maps, satellite imagery and geographic information.

The role of the RMA in the project is to give an expertise in:

-The validation of the RESPONDS?s map products and mainly flood maps;

-To assess the map validation process,

-To propose improvements.

PolInSAR

In the framework of this project, the RMA is in charge of performing fusion of PolInSAR data at different levels (low, intermediate and high) and to evaluate, with the other partners and potential users, the potential of PolInSAR in remote sensing.

ASTRO+

This project aims to show to EU stakeholders the potential of using Space to support Security operations. The objectives being to demonstrate to the users its unique advantages in specific situations: non intrusive and legal, available everywhere at any time, robust and non-vulnerable to local threats; and to propose a structured and effective access to the EU resources providing timely response in security-related situations.

SMART

The goal of the SMART project is to provide a GIS-based system - the SMART system - augmented with dedicated tools and methods designed to use multispectral and radar data in order to assist the human analyst in the interpretation of the mined scene. The use of SMART includes a short field survey to collect knowledge about the site, a flight campaign to record the data, and the use of the SMART system by an operator to detect indicators of presence or absence of minefields. The operator will prepare thematic maps that will synthesise all the knowledge gathered with these indicators. These maps of indicators can be transformed into ‘danger maps’ showing how dangerous an area may be according to the location of known indicators. These maps are designed to help the area reduction process.
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Publications

  1. Yann Yvinec, Nada Milisavljevic, Charles Beumier, Idrissa Mahamadou, Dirk Borghys, Michal Shimoni, and Vinciane Lacroix. Remote sensing for non‐technical survey. In Charles Beumier, Damien Closson, Vinciane Lacroix, Nada Milisavljevic, and Yann Yvinec, editors, Mine Action - The Research Experience of the Royal Military Academy of Belgium, chapter 05. InTech, Rijeka, 2017.
  2. 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.
  3. 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.
  4. Ingmar Renhorn, Veronique Achard, Maria Axelsson, Koen Benoist, Dirk Borghys, Xavier Briottet, Rob Dekker, Alwin Dimmeler, Ola Friman, Ingebjørg Kåsen, Stefania Matteoli, Maria Lo Moro, Thomas Olsvik Opsahl, Mark Van Persie, Salvatore Resta, Hendrik Schilling, Piet Schwering, Michal Shimoni, Trym Vegard Haavardsholm, and Françoise Viallefont. Hyperspectral Reconnaissance in Urban Environment. In SPIE Defence and Security, Baltimore, 2013. SPIE.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. A. Bouaraba, D. Borghys, A. Belhadj-Aissa, M. Acheroy, and D. Closson. IMPROVING CCD PERFORMANCE BY THE USE OF LOCAL FRINGE FREQUENCIES. Progress In Electromagnetics Research C, 32:123-137, 2012.
  13. N Gorelik, D Blumberg, S R Rotman, and D Borghys. Non-singular approximations for a singular covariance matrix . In SPIE Proc. on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, volume 8390, Baltimore, USA, 2012.
  14. Nir Gorelik, Dan Blumberg, Stanley R. Rotman, and Dirk Borghys. Target Detection Using Nonsingular Approximations for a Singular Covariance Matrix. Journal of Electrical and Computer Engineering, 2012:1-7, 2012.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. D Borghys, E Truyen, M Shimoni, and C Perneel. Anomaly Detection in Hyperspectral Images of Complex Scenes. In Earsel Symposium, Chania, Greece, June 2009.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. D Borghys and C Perneel. A Supervised Classification of Multi-Channel High-Resolution SAR Data. Earsel eProceedings, 6(1):26-37, 2007.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. Yann Yvinec, Dirk Borghys, Marc Acheroy, Martin Keller, Helmut Süß, Milan Bajic, Eléonore Wolff, Sabine Vanhuysse, Isabelle Bloch, Yong Yu, and Olivier Damanet. SMART: Space and Airborne Mined Area Reduction Tools - Presentation. In EUDEM2-SCOT-2003 International Conference on Requirements and Technologies for the Detection, Removal and Neutralization of Landmines and UXO, Brussels, Belgium, September 2003.
  37. 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.
  38. 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.
  39. 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.
  40. D Borghys. Interpretation and Registration of High-Resolution Polarimetric SAR Images. PhD thesis, ENST, Dépt. TSI, Paris, November 2001.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. Wim Mees, Pascal Druyts, Dirk Borghys, Youssef Ouaghli, Carlos Miravet, Helmut Suess, Christiaan Perneel, Marc Acheroy, and J-L Valero. Semi-automatic help for aerial region analysis. technical report 1998. final report SAHAR project - west european union satellite centre. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, Belgium, 1998.
  53. 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.
  54. 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.
  55. 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.
  56. D Borghys, C Perneel, W Mees, and M Acheroy. STANAG 3596 based Multispectral Information System - Feasibility Study. Royal Military Academy, Brussels, 1996.
  57. D Borghys and M Acheroy. Noise Reduction in Image Sequences with Sparse Temporal Sampling. In Proceedings of the IASTED International Conference on Signal and Image Processing - SIP95, Las Vegas (NV), pages 452-455, November 1995.
  58. 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.
  59. D Borghys and F Vanderputten. Temperatuurcalibratie van Infraroodbeelden. Activiteitsverslag nr39/88, TDLM/CT-TE, 1988.