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Dr Ir MSc. Nada MILISAVLJEVIC

Researcher

nada@elec.rma.ac.be     +32-2-44-14199     Academic details

Research projects

SPRINT

Development of Earth observation SAR-based tools to improve surveys required for humanitarian demining. Analysis and modelling of long term mechanisms and processes related to potential indicators of contaminated areas through exploitation of time series of ERS and ENVISAT archives will be performed and validated in Croatia. The idea is to differentiate human-induced effects from natural ones by exploiting the combination of the amplitude and phase changes of the signal. The same tools could be used for food security applications. The project could serve as a feasibility study for using stacks of free Sentinel-1 images.

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. Charles Beumier, Damien Closson, Vinciane Lacroix, Nada Milisavljevic, and Yann Yvinec. Mine Action - The Research Experience of the Royal Military Academy of Belgium. InTech, August 2017.
  2. 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.
  3. N Milisavljevic and I Bloch. Why is information fusion useful for mined area reduction?, chapter 14. iConcept Press, 2011.
  4. N Milisavljevic and I Bloch. How can data fusion help humanitarian mine action? International Journal of Image and Data Fusion, 1(2):177-191, 2010.
  5. N Milisavljevic, D Closson, and I Bloch. Detecting Human-induced Scene Changes Using Coherent Change Detection in SAR Images. In Proc. of ISPRS Commission VII Symposium, volume XXXVIII-7B, pages 389-394, Vienna, Austria, 2010.
  6. N Milisavljevic, D Closson, and I Bloch. Detecting Potential Human Activities Using Coherent Change Detection. In Proc. of 2nd International Conference on Image Processing Theory Tools and Applications (IPTA), pages 482-485, Paris, France, 2010.
  7. N Milisavljevic and I Bloch. Possibilistic and fuzzy multi-sensor fusion for humanitarian mine action, chapter 23, pages 491-504. {I}n{T}ech, 2009.
  8. N Milisavljevic, I Bloch, V Alberga, and G Satalino. Three strategies for fusion of land cover classification results of polarimetric {SAR} data, chapter 16, pages 277-298. {I}n{T}ech, 2009.
  9. O Lopera, N Milisavljevic, B Macq, and S Lambot. A parameter-estimation-based change detection methodology for landmine localization from ground-penetrating radar data.. In IGARSS 2008, Boston, Massachusetts USA, 2008.
  10. O Lopera, J Rhebergen, E Slob, N Milisavljevic, and S Lambot. Analysis of the effect of watering on landmine detection. In 12th International Conference on Ground Penetrating Radar GPR 2008, Birmingham,UK, 2008.
  11. N Milisavljevic and I Bloch. Possibilistic vs. Belief Function Fusion for Anti-Personnel Mine Detection. IEEE Transactions on Geoscience and Remote Sensing, 46(5):1488-1498, 2008.
  12. N Milisavljevic, I Bloch, and M Acheroy. Multi-Sensor Data Fusion Based on Belief Functions and Possibility Theory: Close Range Antipersonnel Mine Detection and Remote Sensing Mined Area Reduction, chapter 4, pages 392-418. ARS I-Tech Education and Publishing, 2008.
  13. M Acheroy and N Milisavljevic. In the Spotlight: Signal Processing for Humanitarian Mine Action. IEEE Signal Processing Magazine, 24(4):136, 2007.
  14. I Bloch, N Milisavljevic, and M Acheroy. Multisensor Data Fusion for Spaceborne and Airborne Reduction of Mine Suspected Areas. International Journal of Advanced Robotic Systems, 4(2):173-186, 2007.
  15. Olga Lopera and Nada Milisavljevic. Prediction of the effects of soil and target properties on the antipersonnel landmine detection performance of ground-penetrating radar: A Colombian case study. Journal of Applied Geophysics, 63(1):13-23, September 2007.
  16. O Lopera, N Milisavljevic, and S Lambot. Clutter Reduction in GPR Measurements for Detecting Shallowly Buried Landmines: a Colombian Case Study. Near Surface Geophysics, 2007.
  17. O Lopera, N Milisavljevic, B Macq, and S Lambot. Time-frequency domain signature analysis of GPR data for landmine identification. In Proceedings of the 4th International Workshop on Ground Penetrating Radar, pages 159-162, 2007.
  18. O Lopera, N Milisavljevic, J Rhebergen, and S Lambot. Analysis of the effect of target and soil properties on the detection performance of ground penetrating radar: experimental and in field results. In Proceedings of IGARSS 2007, Barcelona, Spain, 2007.
  19. Olga Lopera, Sébastien Lambot, and Nada Milisavljevic. Clutter reduction in GPR measurements for detecting shallow buried landmines : a Colombian case study. Near Surface Geophysics, 5:57-64, 2007.
  20. Olga Lopera, Evert Slob, Nada Milisavljevic, and Sébastien Lambot. Filtering soil surface and antenna effects from GPR data to enhance landmine detection. IEEE Trans. on Geoscience and Remote Sensingand Remote Sensing,, 45(3):707-717, 2007.
  21. N Milisavljevic and I Bloch. Possibilistic Multi-Sensor Fusion for Humanitarian Demining. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2007), pages 14-17, Barcelona, Spain, 2007.
  22. O Lopera, S Lambot, E Slob, M Vancoolster, B Macq, and N Milisavljevic. A new integrated approach for characterizing the soil electromagnetic properties and detecting landmines using a hand-held vector network analyzer. In Defense and Security Symposium 2006, Orlando, Florida USA, 2006.
  23. O Lopera, N Milisavljevic, B Macq, and S Lambot. Change Detection Based on Parameter Estimation From Frequency-domain GPR Data for Demining Applications. In XI International Conference on Ground Penetrating Radar GPR 2006, Columbus, Ohio USA, 2006.
  24. O. Lopera, S. Lambot, N. Milisavljevic, B. Scheers, and I. van den Bosch. Background subtraction in the frequency domain for focusing ground-penetrating radar data. In Proceedings of the 3rd International Workshop on Advanced Ground Penetrating Radar, 2005. IWAGPR 2005., pages 25-30. IEEE, 2005.
  25. O Lopera, S Lambot, N Milisavljevic, B Scheers, and I van den Bosch. Background Subtraction in the Frequency Domain for Focusing Ground-Penetrating Radar Data. In Proceedings of the Third International Workshop on Advanced GPR, Delft, The Netherlands, 2005.
  26. O. Lopera, S. Lambot, N. Milisavljevic, B. Scheers, and I. van den Bosch. Background subtraction in the frequency domain for focusing ground-penetrating radar data. In Proceedings of the 3rd International Workshop on Advanced Ground Penetrating Radar, pages 25-30. IEEE, 2005.
  27. O Lopera, B Macq, N Milisavljevic, and B Scheers. Denoising and migration techniques for landmine identification from Ground-Penetrating Radar 2D data. In eProceedings of GRETSI 2005, Louvain-la-neuve, Belgium, 2005.
  28. N Milisavljevic and I Bloch. Improving Mine Recognition through Processing and Dempster-Shafer Fusion of Multisensor Data, chapter 17, pages 319-343. J. Wiley, 2005.
  29. O Lopera, S Lambot, I van den Bosch, A Gauthier, N Milisavljevic, and B Macq. A new signal processing approach for landmine signature extraction from Ground Penetrating Radar 2D data. In eProceedings of the IV National Congress on Automatization and Control, ISBN 958-8028-39-6, Bogota, Colombia, 2004.
  30. O Lopera, N Milisavljevic, B Macq, I van den Bosch, S Lambot, and A Gauthier. Analysis of segmentation techniques for landmine signature extraction from Ground Penetrating Radar 2D data. In eProceedings of the II International IEEE Andean Region Conference, ISBN 958-33-6534-3, Bogota, Colombia, 2004.
  31. O Lopera, I van den Bosch, S Lambot, N Milisavljevic, and B Macq. Simulation and analysis of ladnmine signatures from Ground Penetrating Radar 2D data. In Proceedings of the International Symposium Humanitarian Demining 2004, Sibenik, Croatia, 2004.
  32. N Milisavljevic and M Acheroy. Analysis and Fusion Using Belief Function Theory of Multisensor Data for Close-in Mine Detection. In Proc. of NDRF summer conference, Frederikshavn, Denmark, 2004.
  33. N Milisavljevic and I Bloch. Detection of Low-Metal Content Objects by Evidential Fusion of Mine Detection Sensors. Integrated Computer-Aided Engineering, 10(1):51-61, 2003.
  34. N Milisavljevic and I Bloch. Sensor Fusion in Anti-Personnel Mine Detection Using a Two-Level Belief Function Model. IEEE Transactions on Systems, Man and Cybernetics, Part C, 33(2):269-283, 2003.
  35. N Milisavljevic, I Bloch, S P van den Broek, and M Acheroy. Improving Mine Recognition through Processing and Dempster-Shafer Fusion of Ground-Penetrating Radar Data. Pattern Recognition, 36(5):1233-1250, 2003.
  36. M Keller, N Milisavljevic, H Suess, and M Acheroy. Reduction of mine suspected areas by multisensor airborne measurements: first results. In Proceedings of SPIE Conference on Detection Technologies for Mines and Minelike Targets, volume 4742, pages 857-871, Orlando, USA, 2002.
  37. N Milisavljevic and M Acheroy. Two Methods for Detection of Minelike Shapes. In Proceedings of SPIE Conference on Detection Technologies for Mines and Minelike Targets, volume 4742, pages 85-95, Orlando, USA, 2002.
  38. N Milisavljevic and A Yarovoy. An Effective Algorithm for Subsurface SAR Imaging. In Proceedings of IEEE Antennas and Propagation Society International Symposium, volume 4, pages 314-317, San Antonio, USA, 2002.
  39. N Milisavljevic and A Yarovoy. Position Determination of a Subsurface Object by Combined Output of two Receive GPR Antennas. In Proceedings of the 14th International Conference on Digital Signal Processing (DSP), volume 2, pages 901-904, Santorini, Greece, 2002.
  40. N Milisavljevic. Analysis and Fusion Using Belief Function Theory of Multisensor Data for Close-Range Humanitarian Mine Detection. PhD thesis, École Nationale Supérieure des Télécommunications, Paris, France, 2001.
  41. N Milisavljevic. Analysis and fusion using belief function theory of multisensor data for close-range humanitarian mine detection. Phd thesis, ENST, Dépt. TSI, Paris, 2001.
  42. N Milisavljevic and I Bloch. A Two-Level Approach for Modeling and Fusion of Humanitarian Mine Detection Sensors within the Belief Function Framework. In Proc. of the Conference on Applied Stochastic Models and Data Analysis, volume 2, pages 743-748, Compiegne, France, 2001.
  43. N Milisavljevic, I Bloch, and M Acheroy. Application of the Randomized Hough Transform to Humanitarian Mine Detection. In Proc. of the IASTED International Conference on Signal and Image Processing, pages 149-154, Honolulu, USA, 2001.
  44. N Milisavljevic, S P van den Broek, I Bloch, P B W Schwering, H A Lensen, and M Acheroy. Comparison of Belief Functions and Voting Method for Fusion of Mine Detection Sensors. In Proceedings of SPIE Conference on Detection Technologies for Mines and Minelike Targets, volume 4394, pages 1011-1022, Orlando, USA, 2001.
  45. N Milisavljevic. Characterization and Fusion of Mine Detection Sensors in Terms of Belief Functions. In Proceedings of Joint Workshop on Research on Demining Technologies, pages 97-98, JRC, Ispra, Italy, 2000.
  46. N Milisavljevic, I Bloch, and M Acheroy. A First Step towards Modeling and Combining Mine Detection Sensors within Dempster-Shafer Framework. In Proc. of the 2000 International Conference on Artificial Intelligence (IC-AI'2000), volume II, pages 745-751, Las Vegas, USA, 2000.
  47. N Milisavljevic, I Bloch, and M Acheroy. Characterization of Mine Detection Sensors in Terms of Belief Functions and their Fusion, First Results. In Proc. of 3rd International Conference on Information Fusion (FUSION 2000), volume II, pages ThC3.15-ThC3.22, Paris, France, 2000.
  48. N Milisavljevic, I Bloch, and M Acheroy. Modeling, Combining and Discounting Mine Detection Sensors within Dempster-Shafer Framework. In Proceedings of SPIE Conference on Detection Technologies for Mines and Minelike Targets, volume 4038, pages 1461-1472, Orlando, USA, 2000.
  49. N Milisavljevic. Comparison of Three Methods for Shape Recognition in the Case of Mine Detection. Pattern Recognition Letters, 20(11-13):1079-1083, 1999.
  50. N Milisavljevic. Mine Shape Detection and Data Fusion Considerations. In Proceedings of the HUDEM Workshop, Brussels, Belgium, 1999.
  51. N Milisavljevic and M Acheroy. A Method for Smooth Edges Grouping. In Proceedings of the IASTED International Conference on Signal and Image Processing (SIP'99), Nassau, The Bahamas, 1999.
  52. N Milisavljevic and M Acheroy. An Approach to the Use of the Bayesian Rule in Decision Level Fusion for Multisensor Mine Detection. In Proceedings Physics in Signal and Image Processing (PSIP), pages 261-266, Paris, France, 1999.
  53. N Milisavljevic and M Acheroy. Overview of Mine Detection Sensors and Ideas for their Estimation and Fusion in the Scope of HUDEM Project. In Proceedings of Australian-American Joint Conference on the Technologies of Mines and Mine Countermeasures, Sydney, Australia, 1999.
  54. N Milisavljevic, B Scheers, O Thonnard, and M Acheroy. Current Contribution of the RMA/SIC to the HUDEM Project. In Poster for the Second International Symposium on Operationalization of remote sensing, ITC Enschede, The Netherlands, 1999.
  55. N Milisavljevic, B Scheers, and Y Yvinec. Laboratory UWB GPR for 3D Data Acquisition and Shape Extraction of AP Landmines. In Proceedings of the European Workshop on Photonics applied to Mechanics and Environmental Testing Engineering (PHOTOMEC'99 - ETE'99), Liege, Belgium, 1999.
  56. N Milisavljevic, B Scheers, Y Yvinec, and M Acheroy. 3D Visualization of Data Acquired by Laboratory UWB GPR in the Scope of Mine Detection. In Proceedings of EUROCONFERENCE ON: Sensor systems and signal processing techniques applied to the detection of mines and unexploded ordnance (Mine'99), pages 24-30, Florence, Italy, 1999.
  57. O Thonnard and N Milisavljevic. Metallic Shape detection and Recognition with a Metal Detector. In Proceedings of the European Workshop on Photonics applied to Mechanics and Environmental Testing Engineering (PHOTOMEC'99 - ETE'99), volume II, pages 99-103, Liege, Belgium, 1999.
  58. N Milisavljevic. Decision Fusion Considerations. In Proceedings of CLAWAR'98, pages 219-224, Brussels, Belgium, 1998.
  59. N Milisavljevic. Mine Detection Sensors Overview, Meerdaal Trials - Description and First Results of Image Processing, Data Fusion Considerations. In Proceedings of the HUDEM Workshop, Brussels, Belgium, 1998.
  60. N Milisavljevic. State of the art of the sensors for mine detection - a study. Technical report, Signal and Image Centre, Royal Military Academy, Brussels, Belgium, 1998.