Detection in urban scenario using combined airborne imaging sensors

Ingmar Renhorn, Maria Axelsson, Koen Benoist, Dirk Borghys, Yannick Boucher, Xavier Briottet, Sergio De Ceglie, Rob Dekker, Alwin Dimmeler, Remco Dost, Ola Friman, Ingebjørg Kåsen, Jochen Maerker, Mark Van Persie, Salvatore Resta, Piet Schwering, Michal Shimoni, Trym Vegard Haavardsholm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The EDA project "Detection in Urban scenario using Combined Airborne imaging Sensors" (DUCAS) is in progress. The aim of the project is to investigate the potential benefit of combined high spatial and spectral resolution airborne imagery for several defense applications in the urban area. The project is taking advantage of the combined resources from 7 contributing nations within the EDA framework. An extensive field trial has been carried out in the city of Zeebrugge at the Belgian coast in June 2011. The Belgian armed forces contributed with platforms, weapons, personnel (soldiers) and logistics for the trial. Ground truth measurements with respect to geometrical characteristics, optical material properties and weather conditions were obtained in addition to hyperspectral, multispectral and high resolution spatial imagery. High spectral/spatial resolution sensor data are used for detection, classification, identification and tracking.

Original languageEnglish
Title of host publicationInfrared Technology and Applications XXXVIII
PublisherSociety of Photo-Optical Instrumentation Engineers
ISBN (Print)9780819490315
DOIs
Publication statusPublished - 2012
Event38th Conference on Infrared Technology and Applications - Baltimore, MD, United States
Duration: 23 Apr 201227 Apr 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8353
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference38th Conference on Infrared Technology and Applications
Country/TerritoryUnited States
CityBaltimore, MD
Period23/04/1227/04/12

Keywords

  • classification
  • detection
  • high resolution imagery
  • hyperspectral
  • imagery
  • sensor fusion
  • tracking

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