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Lic. Mahamadou IDRISSA SEYNI

Researcher

idrissa@elec.rma.ac.be     +32-2-44-14198     Academic details

Research projects

DAP-16-8

The aim of the study is to develop (semi-)automatic image analysis methods in order to help vectorize topo-geographic objects from satellite imagery and to integrate these in the Geographic service of the Defense in charge of the MGCP project.

SIC/05

The study aims first at automatically extract Digital Surface Models using very high spatial and radiometric resolution images and multiview modes. Second, these DSM will be exploited to perform change detection and produce landscape models.

ARMURS

Description: Topographical data producers are currently confronted the need of a faster updating method. Although state-of-the-art techniques exist, no automated tool predicts and locates changes.

The general objective of the project is to capitalize partners\' knowledge in the development of a demonstrator to assist data producers in updating more efficiently their topographic database by using state-of-the-art image processing and statistical analysis techniques. Data will include remote sensing images, together with socio-economical data.

To achieve this general objective, two main axes are distinguished:

- At a regional scale, the objective is to analyze topographical dabases from multiple sources such as satellite images, demographic database, or economic database in order to predict information about the localization of changes in man-made structures (such as houses, roads, etc.).

- At a local scale, for areas of predicted changes the older databases will be compared w

OCTOPUS

The method developed for NGI by SIC in the scope of the ETATS project (STEREO SR/00/21) to detect changes in buildings and roadnetwork from SPOT5 images and the Top10v-GIS topographic data base (conceptually at 1:10 000) of NGI, has produced good results on a set of zones, but could not be validated sufficiently in the foreseen time frame during the ETATS project. Moreover, taking into account the tests realized and in order to make the application more flexible, NGI prefers a modular version of the realized software under the form of successions of scripts instead of a global graphical interface. Finally, the NGI wish that the method could accept as input other types of images than SPOT5 images, as aerial photos, orthophotos and mosaics.

At the end of this project, the NGI will have a versatile and adapted prototype to help the updating of topogeographical data.

GMOSS

The aim of the GMOSS network of excellence is to integrate Europe?s civil security research so as to acquire and nourish the autonomous knowledge and expertise base Europe needs if it is to develop and maintain an effective capacity for global monitoring using satellite earth observation.

GEMITOR

The objective of the GEMITOR project is to generate a Numerical Surface Model (NSM) with a resolution that is as high as possible. This NSM would then serve as input for the EMSOR project to which the GEMITOR project is linked.

Generating NSM from SAR interferometrie has proved to be challenging at very high resolution. In particular, the phase unwrapping operation has to be re-examined, for instance by adopting a multiresolution approach.

EMSOR

EMSOR vise 2 applications complémentaires de la détection de structures humaines, à savoir : la mise à jour de données cartographiques en routine et la mise à jour de cartes en temps de crise avec évaluation des dégâts survenus.

EMSOR va intégrer voire développer les méthodes nécessaires à l’analyse des données SAR pour les applications en sécurité (résolution 1m), à l’analyse des données optiques (résolution 1m) et à la fusion de données SAR et optiques.

EMSOR, est intégré dans un réseau destiné à faciliter l’échange d’expertise, de données et la comparaison de résultats.

Etats

The National Geographic Institute (of Belgium) is in charge of the production of the digital topo-geographic data over Belgium at the scale of 1:10000. In order to keep up with the evolution of the situation on the terrain, the NGI has to plan for the update of these data and inform its user about the status of that update. Detection of areas that have undergone a significant evolution with respect to the know situation in the database is thus required.

The role of RMA in this project is to detect those areas. More specifically, the focus will be put on the detection of the communication network (roads, railroad) and the build-up areas. RMA will produce a software prototype that will interface with a Geographical Information System and that will compute a 'change index' for fixed-size cells on a regular grid using very high resolution satellite images.

Publications

  1. C Beumier and M Idrissa. Digital terrain models derived from digital surface model uniform regions in urban areas. International Journal of Remote Sensing, 37(15):3477-3493, 2016.
  2. Mahamadou Idrissa and Charles Beumier. Generic epipolar resampling method for perspective frame camera and linear push-broom sensor. International Journal of Remote Sensing, 37(15):3494-3504, 2016.
  3. C Beumier and M Idrissa. Deriving a DTM from a DSM by Uniform Regions and Context. EARSeL eProceedings, 14(1):16-24, 2015.
  4. C Beumier and M Idrissa. Building detection with multi-view colour infrared imagery. EARSeL eProceedings, 13(2):77-84, 2014.
  5. C Beumier and M Idrissa. Extraction de MNS et Application à la Détection de Changement du Bâti. In Traitement et Analyse de l'Information Méthodes et Applications - TAIMA 2013, Hammamet, Tunisia, 2013.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. C. Beumier and M. Idrissa. Building Change Detection from Uniform Regions. In beroamerican Congress on Pattern Recognition (CIARP 2012), 2012.
  11. C Beumier and M Idrissa. Building Change Detection from Uniform Regions. In Iberoamerican Congress on Pattern Recognition - CIARP 2012, Buenos Aires, Argentina, 2012.
  12. C Beumier and M Idrissa. Building Change Detection by Histogram Classification. In Int. Conf. on Signal-Image Technology and Internet-based Systems - SITIS 2011, Dijon, France, 2011.
  13. C Beumier and M Idrissa. Quantitative analysis of 3D reconstruction error in the context of computational stereo in remote sensing. In GEOBIA 2010 Conference on Geographic Object-Based Image Analysis, Ghent, June 2010, June 2010.
  14. C Beumier and M Idrissa. Quantitative analysis of 3D reconstruction error in the context of computational stereo in remote sensing. In Geographic Object-Based Image Analysis - GEOBIA 2010, Ghent, Belgium, 2010.
  15. V Lacroix and M Idrissa. Optimal Palette Extraction as Part of Scanned Graphics Vectorization. In Fourth European Conference on Colour in Graphics, Imaging, and MCS/10 Vision 12th International Symposium on Multispectral Colour Science, Joensuu, Finland June 2010, June 2010.
  16. M Idrissa and V Lacroix. A Multiresolution-MRF Approach for Stereo Dense Disparity Estimation. In IEEE-GRSS/ISPRS Joint Urban Remote Sensing Event, May 20-22 2009, Shanghai China, May 2009.
  17. V. Alberga, M. Idrissa, V. Lacroix, and J. Inglada. Performance estimation of similarity measures of multi-sensor images for change detection applications. In Proceedings of MultiTemp, Leuven, Belgium, July 2007 2007.
  18. V Lacroix V. Alberga M. Idrissa and J Inglada. Comparison of similarity measures of multi-sensor images for change detection applications. In Proceedings of IGARSS 2007, Barcelona, Spain, July 2007, July 2007.
  19. V Lacroix V. Alberga M. Idrissa and J Inglada. Performance estimation of similarity measures of multi-sensor images for change detection applications. In Proceedings of MultiTemp 2007, Leuven, Belgium, July 2007, July 2007.
  20. S. Delhay, V. Lacroix, and M. Idrissa. A GIS tool for humanitarian demining. In proceedings of AGIT Conference, Salzburg, Austria, July 2006.
  21. Vinciane Lacroix, Arnaud Hincq, Idrissa Mahamadou, H. Bruynseels, and Olivier Swartenbroekx. Detecting urbanization changes using SPOT5. Pattern Recognition Letters, 27:226-233, 2006. (PDF)
  22. A Hincq H Bruynseels V. Lacroix M. Idrissa and O Swartenbroekx. Detecting urbanization changes using spot5. Pattern Recognition Letters, 2006.
  23. S. Delhay, V. Lacroix, and M Idrissa. Paradis: Gis tools for humanitarian demining. In ISCRAM 2005 Information Systems for Crisis Response And Management Conference, April 2005.
  24. Arnaud Hincq, Vinciane Lacroix, Idrissa Mahamadou, H. Bruynseels, and Olivier Swartenbroekx. Tests de visibilité sur des images SPOT5. In ACFAS 2005, volume Colloque 202, Chicoutimi, Canada, May 2005. (PDF)
  25. Vinciane Lacroix, Arnaud Hincq, Idrissa Mahamadou, H. Bruynseels, and Olivier Swartenbroekx. SPOT5 pour la détection d'urbanisation. In ACFAS 2005, volume Colloque 202, Chicoutimi, Canada, May 2005. (PDF)
  26. Vinciane Lacroix, Arnaud Hincq, Idrissa Mahamadou, H. Bruynseels, and Olivier Swartenbroekx. SPOT5 pour la télédétection d'urbanisation. Revue Française de Photogramétrie et de Télédétection, 178:3-11, 2005. (PDF)
  27. A Hincq H Bruynseels V. Lacroix M. Idrissa and O Swartenbroekx. Spot5 pour la télédétection d'urbanisation. Revue Française de Photogramétrie et de Télédétection, 2005.
  28. S. Delhay, V. Lacroix, and M. Idrissa. PARADIS: Focusing on GIS field tools for humanitarian demining. In 5th IARP Workshop HUDEM'2004, Brussels, Belgium, June 2004. (PDF)
  29. Vinciane Lacroix, Arnaud Hincq, Idrissa Mahamadou, H. Bruynseels, and Olivier Swartenbroekx. SPOT5 images for urbanization detection. In ACIVS 2004, Bruxelles, Belgium, August 2004. (PDF)
  30. Vinciane Lacroix, Arnaud Hincq, Idrissa Mahamadou, H. Bruynseels, and Olivier Swartenbroekx. A visibility test on SPOT5 images. In ISPRS 2004, volume Commission 4, Istanbul, Turkey, July 2004. (PDF)
  31. A Hincq H Bruynseels V. Lacroix M. Idrissa and O Swartenbroekx. A visibility test on spot5 images. In ISPRS 2004, volume Commission 4, Istanbul, Turkey, July 2004, July 2004.
  32. S. Delhay, V. Lacroix, and M. Idrissa. Paradis, a gis tool for the management of humanitarian demining campaigns. In EUDEM2-SCOT-2003 International Conference on Requirements and Technologies for the Detection, Removal and Neutralization of Landmines and UXO, September 2003.
  33. S. Delhay, V. Lacroix, and M. Idrissa. PARADIS, a GIS tool for the management of humanitarian demining campaigns. In EUDEM2-SCOT-2003 International Conference on Requirements and Technologies for the Detection, Removal and Neutralization of Landmines and UXO, Brussels, Belgium, September 2003. (PDF)
  34. M Idrissa and M Acheroy. Texture Classification using Gabor Filters. Pattern Recognition Letters, 2002.
  35. M Idrissa and M Acheroy. An Iterative Fuzzy C-means Algorithm - Application to Landcover Classification. In 4th World Multiconference on Systemics, Cyber netics and Informatics, special session on Geographical Information Processing and Remote Sensing, Orlando, Florida(USA), July 2000.
  36. M Idrissa and M Acheroy. Texture Classification using Gabor Filters. In First International Workshop on Pattern Recognition Techniques in Remote Sensing, Andorra la Vella, Andorra, September 2000.
  37. Yann Yvinec, Pascal Druyts, Vinciane Lacroix, Youssef Ouaghli, and Idrissa Mahamadou. Airborne minefield detection: pilot project {RMA/SIC} Final report. Technical report, Royal Military Academy, Avenue de la Renaissance, 30 B-1000 Brussels, 1999.