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Image processing in aerial surveillance and reconnaissance: From pixels to understanding

Author: Dijk, J. · Eekeren, A.W.M. van · Rajadell Rojas, O. · Burghouts, G.J. · Schutte, K.
Publisher: SPIE
Place: Bellingham, WA
Source:Kamerman, al, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing, 23 September 2013, Dresden, Germany
Proceeings of SPIE
Identifier: 484952
doi: doi:10.1117/12.2029591
Article number: 88970A
Keywords: Image processing · Image processing · Reconnaissance · Surveillance · Sensors · Unmanned aerial vehicles · Infrared cameras · Modeling · Algorithms · Image enhancement · Defence Research · Defence, Safety and Security · Physics & Electronics · II - Intelligent Imaging · TS - Technical Sciences


Surveillance and reconnaissance tasks are currently often performed using an airborne platform such as a UAV. The airborne platform can carry different sensors. EO/IR cameras can be used to view a certain area from above. To support the task from the sensor analyst, different image processing techniques can be applied on the data, both in real-time or for forensic applications. These algorithms aim at improving the data acquired to be able to detect objects or events and make an interpretation of those detections. There is a wide range of techniques that tackle these challenges and we group them in classes according to the goal they pursue (image enhancement, modeling the world object information, situation assessment). An overview of these different techniques and different concepts of operations for these techniques are presented in this paper. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.