IMIS | Expertplatform - Waterbouwkundig Laboratorium

De Koninklijke Militaire School (KMS) is een militaire instelling van universitair onderwijs die verantwoordelijk is voor de academische, militaire en fysieke basisopleiding van toekomstige officieren, en voor de voortgezette geavanceerde opleiding van officieren tijdens hun actieve loopbaan bij Defensie.

De KMS voert ook wetenschappelijk onderzoek uit op universitair niveau voor projecten gefinancierd door de Belgische Defensie of externe financieringsagentschappen op regionaal, federaal of Europees niveau. Hoewel onderzoeksthema's vooral gericht zijn op het oplossen van militaire problemen, neemt de KMS ook deel aan en coördineert het onderzoeksprojecten gericht op civiele toepassingen, meestal binnen het beveiligings-/veiligheidsdomein in brede zin. Het onderzoek wordt uitgevoerd in samenwerking met andere onderzoeksinstellingen, universiteiten, de industrie en andere wetshandhavingsinstanties (LEA's). Academische afdelingen binnen de KMS zijn (1) Communicatie, informatie, systemen en sensoren; (2) Economie, management en leiderschap; (3) Natuurkunde; (4) Leven; (5) Mechanica; (6) Wiskunde; (7) Gedragswetenschappen; (8) Chemie; (9) Conflictstudies; (10) Wapensystemen en ballistiek. Tenslotte wordt in veel ruimere zin ook actief onderzoek gedaan naar strategische vraagstukken zoals energieonafhankelijkheid en economische gevolgen.

De mariene onderzoeksthema's situeren zich op het gebied van teledetectie in ruime zin. Er wordt onderzoek verricht op het gebied van mijnbestrijding, bv. om de prestaties van bestaande sonars en gradiëntmeters te verhogen en de invloed van de omgeving op hun prestaties te evalueren. Andere onderzoeksprojecten hebben betrekking op maritiem situationeel bewustzijn, waarbij verschillende sensoren, zoals EO-camera's en LiDAR, in verschillende (on)bemande voertuigen worden gemonteerd. Het betreft onder meer ook onderzoek naar sensoren in de lucht en in de ruimte, zoals scatterometers, radarinstrumenten die de windsnelheid en -richting boven het wateroppervlak meten.

Publicaties (39)

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( 24 peer reviewed )

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Bostater, C.R.; Neyt, X. (Ed.) (2023). Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, 2023, 3 - 6 September 2023, Amsterdam, Netherlands. Proceedings of SPIE, the International Society for Optical Engineering. SPIE: Bellingham. , meer
de Falco, P.; Ongaro, F.; Pugno, N.M. (2023). Multi-hit damage and perforation of plates inspired by the attacks of the mantis shrimp. Mechanics of Materials 181: 104587. https://dx.doi.org/10.1016/j.mechmat.2023.104587, meer
De Ridder, S.; Pattyn, N.; Neyt, X.; Germonpré, P. (2023). Selecting optimal air diving gradient factors for Belgian military divers: more conservative settings are not necessarily safer. Diving Hyperb. Med. 53(3): 251-258. https://dx.doi.org/10.28920/dhm53.3.251-258, meer
Cherif, R.; Hamami, A.E.A.; Ait-Mokhtar, A.; Bosschaerts, W. (2022). Thermodynamic equilibria-based modelling of reactive chloride transport in blended cementitious materials. Cement and Concrete Research 156: 106770. https://dx.doi.org/10.1016/j.cemconres.2022.106770, meer
Van Puyvelde, M.; Rietjens, G.; Helmhout, P.; Mairesse, O.; Van Cutsem, J.; Pattyn, N. (2022). The submariners' sleep study: a field investigation of sleep and circadian hormones during a 67-day submarine mission with a strict 6-h-on/6-h-off watch routine. J. Appl. Physiol. 132(4): 1069-1079. https://dx.doi.org/10.1152/japplphysiol.00130.2021, meer
Nita, C.; Vandewal, M. (2021). On the automatic text detection and recognition algorithms for maritime images. Proc. SPIE Int. Soc. Opt. Eng. 11870: 118700B. https://dx.doi.org/10.1117/12.2599422, meer
Nita, C.; Vandewal, M. (2020). CNN-based object detection and segmentation for maritime domain awareness, in: Dijk, J. (Ed.) Artificial Intelligence and Machine Learning in Defense Applications II. Proceedings of SPIE, the International Society for Optical Engineering, 11543: pp. 1154306. https://hdl.handle.net/10.1117/12.2573287, meer
Taverniers, J.; Suss, J.; Delcourt, G.; De Neve, Y. (2019). The tides of the zodiac MK VI HD: comparing the usability of inflatable boats for seaborne operations. IISE Transactions on Occupational Ergonomics and Human Factors 7(1): 22-30. https://dx.doi.org/10.1080/24725838.2019.1584775, meer
Van Hespen, I. (2019). De inzet van privaat gewapend maritiem beveiligingspersoneel of Privately Contracted Armed Security Personnel (PCASP) aan boord van Belgische en Nederlandse koopvaardijschepen. Tijdschrift voor Veiligheid 18(1): 35-54. https://dx.doi.org/10.5553/TvV/187279482019018001003, meer
Rivas, M.B.; Stoffelen, A.; Verspeek, J.; Verhoef, A.; Neyt, X.; Anderson, C. (2017). Cone metrics: a new tool for the intercomparison of scatterometer records. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 10(5): 2195-2204. https://dx.doi.org/10.1109/JSTARS.2017.2647842, meer
Van Hespen, I. (2016). Developing the concept of maritime piracy: a comparative legal analysis of international law and domestic criminal legislation. Int. J. Mar. Coast. Law 31(2): 279-314. https://dx.doi.org/10.1163/15718085-12341395, meer
Van Hespen, I. (2016). Prosecuting maritime piracy: domestic solutions to international crimes. The Military Law and the Law of War Review = Revue de Droit Militaire et de Droit de la Guerre 54(2): 331-335, meer
Elyouncha, A.; Neyt, X.; Stoffelen, A.; Verspeek, J. (2015). Assessment of the corrected CMOD6 GMF using scatterometer data. Proc. SPIE Int. Soc. Opt. Eng. 9638: 11. dx.doi.org/10.1117/12.2195727, meer
Elyouncha, A.; Neyt, X. (2014). Comparison of the spatial and radiometric resolution of ERS and Metop C-band radars, in: Bostater, C.R. et al. (Ed.) Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014. Proceedings of SPIE, the International Society for Optical Engineering, 9240: pp. 92400L. https://dx.doi.org/10.1117/12.2068190, meer
Elyouncha, A.; Neyt, X. (2014). Analysis of C-band spaceborne scatterometers thermal noise, in: Bostater, C.R. et al. (Ed.) Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014. Proceedings of SPIE, the International Society for Optical Engineering, 9240: pp. 924006. https://dx.doi.org/10.1117/12.2068172, meer
Elyouncha, A.; Neyt, X. (2013). C-band satellite scatterometer intercalibration. IEEE Trans. Giosci. Remote Sens. 51(3): 1478-1491. https://dx.doi.org/10.1109/TGRS.2012.2217381, meer
Elyouncha, A.; Neyt, X. (2013). Inter-calibration of Metop-A and Metop-B scatterometers using ocean measurements, in: Bostater, C.R. et al. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2013. Dresden, Germany, September 23, 2013. Proceedings of SPIE, the International Society for Optical Engineering, 8888. https://dx.doi.org/10.1117/12.2033927, meer
Lopera, O.; Dupont, Y. (2013). Target classification from HR sonar images, in: IEEE OCEANS 2013 Norway. Proceedings of a meeting held 10-14 June 2013, Bergen, Norway. Oceans (New York), CFP13OCF: pp. 6 pp. https://dx.doi.org/10.1109/OCEANS-Bergen.2013.6608183, meer
Crapolicchio, R.; De Chiara, G.; Elyouncha, A.; Lecomte, P.; Neyt, X.; Paciucci, A.; Talone, M. (2012). ERS-2 scatterometer: mission performances and current reprocessing achievements. IEEE Trans. Giosci. Remote Sens. 50(7): 2427-2448. https://dx.doi.org/10.1109/TGRS.2011.2179808, meer
Elyouncha, A.; Neyt, X. (2012). A method for cross-comparison of scatterometer data using natural distributed targets: application to ERS-1 and ERS-2 data during the tandem mission. Proc. SPIE Int. Soc. Opt. Eng. 8532: 9. dx.doi.org/10.1117/12.975218, meer
Levaux, F.; Bostater, C.; Neyt, X. (2012). Contrast based band selection for optimized weathered oil detection in hyperspectral images. Proc. SPIE Int. Soc. Opt. Eng. 8532: 16. dx.doi.org/10.1117/12.2007322, meer
Mattheijssens, J.; Marcel, J.-P.; Bosschaerts, W.; Lefeber, D. (2012). Oscillating foils for ship propulsion. WIT Trans. Ecol. Environ. 160: 139-147. dx.doi.org/10.2495/DN120131, meer
Bostater, C.R.; Jones, J.; Frystacky, H.; Coppin, G.; Leavaux, F.; Neyt, X. (2011). Airborne imaging sensors for environmental monitoring and surveillance in support of oil spills and recovery efforts, in: Bostater, C.R. et al. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 21-22 September 2011, Prague, Czech Republic. Proceedings of SPIE, the International Society for Optical Engineering, 8175: pp. 20 pp. http://dx.doi.org/10.1117/12.901231, meer
Shimoni, M.; Acheroy, M. (2006). Imaging spectroscopy for coastal biogeochemistry of estuaries and plumes, in: Bostater, C.R. et al. (Ed.) Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2006. Stockholm, Sweden, September 11-13, 2006. Proceedings of SPIE, the International Society for Optical Engineering, 6360: pp. U46-U55. https://dx.doi.org/10.1117/12.689992, meer
Arhant, Y.; Tellez, O.L.; Neyt, X.; Pizurica, A. (2023). D4SC: deep supervised semantic segmentation for seabed characterization in low-label regime, in: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium: Proceedings. pp. 6932-6935. https://dx.doi.org/10.1109/IGARSS52108.2023.10282903, meer
Desmidts, D.; Van Utterbeeck, F.; Lauwens, B.; De Clerck, B.; Harbi, T.E.; Benhassine, M. (2022). Optimal survey path for MCM operations using variable length genetic algorithms, in: Geril, P. et al. 20^th International Industrial Simulation Conference 2022 (ISC' 2022). pp. 16-20, meer
Dutrannois, T.; Nguyen, T.-T.; Hamesse, C.; De Cubber, G.; Janssens, B. (2022). Visual SLAM for autonomous drone landing on a maritime platform, in: 2022 International Symposium on Measurement and Control in Robotics (ISMCR). pp. 66-72. https://dx.doi.org/10.1109/ISMCR56534.2022.9950582, meer
Halleux, T.; Nguyen, T.-T.; Hamesse, C.; De Cubber, G.; Janssens, B. (2022). Visual drone detection and tracking for autonomous operation from maritime vessel, in: 2022 International Symposium on Measurement and Control in Robotics (ISMCR). pp. 59-65. https://dx.doi.org/10.1109/ISMCR56534.2022.9950568, meer
Lahouli, R.; De Cubber, G.; Pairet, B.; Hamesse, C.; Fréville, T.; Haelterman, R. (2022). Deep learning based object detection and tracking for maritime situational awareness, in: Farinella, G.M. et al. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 . pp. 643-650. https://dx.doi.org/10.5220/0010901000003124, meer
De Cubber, G.; Lahouli, R.; Doroftei, D.; Haelterman, R. (2020). Distributed coverage optimization for a fleet of unmanned maritime systems for a maritime patrol and surveillance application, in: 2020 23^rd International Symposium on Measurement and Control in Robotics (ISMCR). pp. 6. https://dx.doi.org/10.1109/ISMCR51255.2020.9263740, meer
De Cubber, G.; Haelterman, R. (2019). Optimized distributed scheduling for a fleet of heterogeneous unmanned maritime systems, in: Harman, T.L. et al. 2019 IEEE International Symposium on Measurement and Control in Robotics (ISMCR). pp. 7. https://hdl.handle.net/10.1109/ISMCR47492.2019.8955727, meer
Pinto, J.; Ribeiro, M.; Giodini, S.; L'Hoir, P.; Sartore, A.; Giron-Sierra, J.M.; Braga, J.; Sousa, J. (2017). Network enabled cooperation of autonomous vehicles: a communications perspective, in: OCEANS 2017 - Aberdeen. pp. 6. https://dx.doi.org/10.1109/OCEANSE.2017.8084774, meer
Marques, M.M.; Parreira, R.; Lobo, V.; Martins, A.; Matos, A.; Cruz, N.; Almeida, J.M.; Alves, J.C.; Silva, E.; Bedkowski, J.; Majek, K.; Pelka, M.; Musialik, P.; Ferreira, H.; Dias, A.; Ferreira, B.; Amaral, G.; Figueiredo, A.; Almeida, R.; Silva, F.; Serrano, D.; Moreno, G.; De Cubber, G.; Balta, H.; Beglerovic, H. (2016). Use of multi-domain robots in search and rescue operations - contributions of the ICARUS team to the euRathlon 2015 challenge, in: OCEANS 2016 - Shanghai. pp. 7, meer
Papili, S.; Jenkins, C.; Roche, M.; Wever, T.; Lopera, O.; Van Lancker, V. (2015). Influence of shells and shell debris on backscatter strength: Investigation using modeling, sonar measurements and sampling on the Belgian Continental Shelf. Proceedings of the Institute of Acoustics 37(1): 7 pp, meer
Lopera, O.; Liu, W. (2014). An introductory study for applying single-pass interferometry to hull mounted sonar data for target height estimation, in: Proceedings of EUSAR 2014; 10th European Conference on Synthetic Aperture Radar. pp. 4, meer
Mersch, E.; Yvinec, Y.; Dupont, Y.; Neyt, X.; Druyts, P. (2014). Underwater magnetic target localization and characterization using a three-axis gradiometer, in: Oceans 2014 - Taipei. pp. 6. https://dx.doi.org/10.1109/OCEANS-TAIPEI.2014.6964464, meer
Barros, A.S.; Van Hespen, I. (2013). Maritime security: current challenges. Policy Brief, 20. Leuven Centre for Global Governance Studies: Leuven. , meer
O'Hagan, D.W.; Capria, A.; Petri, D.; Kubica, V.; Greco, M.; Berizzi, F.; Stove, A.G. (2012). Passive Bistatic Radar (PBR) for harbour protection applications, in: 2012 IEEE Radar Conference. pp. 5. https://dx.doi.org/10.1109/RADAR.2012.6212182, meer
Laurent, E.; Mathieux, A.; Bras, R.; Vertommen, J.; De Smedt, P. (1971). Mineralogische studie van de aanslibbing in de Schelde: rapport nr. 1. Opzoekingen gedaan in het kader van de studie van de herkomst van de slibben van de Schelde onder de leiding van het Waterbouwkundig Laboratorium, Borgerhout = Etude mineralogique de l'envasement de l'Escaut: rapport no 1. Recherche effectuée dans le cadre de l'étude de l'envasement de l'Escaut sous la direction du Laboratoire de Recherches Hydrauliques, Borgerhout. Koninklijke Militaire School. Laboratorium van Aardkunde = Ecole royale Militaire. Laboratoire de Géologie: Brussel. 56 + tab. pp., meer

Projecten (2)	Top \| Personen \| Instituut \| Publicaties
DISARM: Dumpsites of munitions: Integrated Science Approach to Risk and Management, meer SCHELDT: Door de lucht verpreid hyperspectraal potentieel voor kustbiochemie van het schelde estuarium en pluim, meer

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