31 May 2012 Detection in urban scenario using combined airborne imaging sensors
Author Affiliations +
Proceedings Volume 8353, Infrared Technology and Applications XXXVIII; 83530I (2012); doi: 10.1117/12.921473
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ingmar Renhorn, Maria Axelsson, Koen Benoist, Dirk Bourghys, 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, "Detection in urban scenario using combined airborne imaging sensors", Proc. SPIE 8353, Infrared Technology and Applications XXXVIII, 83530I (31 May 2012); doi: 10.1117/12.921473; https://doi.org/10.1117/12.921473
PROCEEDINGS
9 PAGES


SHARE
KEYWORDS
Sensors

Airborne remote sensing

Spatial resolution

Image sensors

Target detection

Defense and security

Spectral resolution

Back to Top