Paper
16 September 2005 Real-time automatic target recognition and identification of ground vehicles for airborne optronic systems
Olivier Ruch, Jean-Yves Dufour
Author Affiliations +
Abstract
This paper describes ATR/I algorithms that were developed by Thales Optronique for the real-time automatic target recognition and identification of ground vehicles in a Air-to-Ground non cooperative context. The main principles of the algorithm based on an exhaustive comparison between the input image and the elements of a 〈 Model Data Set 〉 are: • To avoid the variability on the gray-levels of the target, the comparison is not performed directly on the input gray-level image but on an edge image which is obtained with a segmentation algorithm derived from the classical Canny-Deriche edge detector. • The selected architecture is chosen to repeat many times a single instruction rather than to execute only one time a lot of different instructions. Therefore, the comparisons between the input image and the elements of the 〈 Model Data Set 〉 are performed in 2D with a correlative technique. • The computation time is achieved thanks to a coarse to fine analysis with different levels of comparison : in a first stage, a simple comparison measure is used which enables quick selection of a preliminary list of potential hypotheses. This measure is discriminating enough to select a small number of hypotheses and robust enough to select the true hypothesis associated with the target. These selected hypotheses are then analyzed during a second stage of processing using a more refined measure, and thus more time consuming than the previous one, but which is applied on a significantly reduced number of hypotheses.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olivier Ruch and Jean-Yves Dufour "Real-time automatic target recognition and identification of ground vehicles for airborne optronic systems", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590902 (16 September 2005); https://doi.org/10.1117/12.615053
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Cited by 3 scholarly publications.
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KEYWORDS
Automatic target recognition

Detection and tracking algorithms

Image segmentation

Image processing

Algorithm development

Data modeling

Optoelectronics

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