Title
Laser gated viewing: An enabler for Automatic Target Recognition?
Author
TNO Industrie en Techniek TNO Defensie en Veiligheid
Bovenkamp, E.G.P.
Schutte, K.
Contributor
Turner, M.D. (editor)
Kamerman, G.W. (editor)
Publication year
2010
Abstract
For many decades attempts to accomplish Automatic Target Recognition have been made using both visual and FLIR camera systems. A recurring problem in these approaches is the segmentation problem, which is the separation between the target and its background. This paper describes an approach to Automatic Target Recognition using a laser gated viewing system. Here laser-flash illumination is used in combination with a gating viewer such that only a small part in the distance domain is seen in a single image. In our approach, using an Intevac LIVAR 4000 imaging system, we combined several images with different gate settings to construct a 3D data cube. This paper describes the preprocessing and filtering steps taken to obtain a range image for which pixel values represent the distance between camera and objects in the illuminated scene. Depth segmentation is performed using the global histogram of this range image. After this depth segmentation very good 2D object segmentations can be obtained which can be used to classify persons and vehicles. An outlook will be given towards operational application of this procedure.
Subject
Automatic Target Recognition
Laser gated viewing
2D objects
3D data
Camera systems
Gated viewing
Operational applications
Pixel values
Range images
Single images
Automatic target recognition
Cameras
Optical radar
Radar
Targets
Three dimensional
Image segmentation
Laser gated viewing
Automatic target recognition
Target classification
Image processing
To reference this document use:
http://resolver.tudelft.nl/uuid:ebedbc6f-f71e-499e-8a00-b9c86c933476
DOI
https://doi.org/10.1117/12.849644
TNO identifier
364411
Publisher
SPIE, Bellingham, WA
ISBN
9780819481481
Source
Laser Radar Technology and Applications XV, 6 April 2010. Orlando, FL. USA
Series
Proceedings of SPIE
Document type
conference paper