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Proceedings Paper

Adaptive algorithms for real-time target extraction from a surface movement radar
Author(s): Enrico Piazza
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Paper Abstract

In the present work is presented a simple algorithm to detect target moving along runways and taxiways of an airport from images provided by a Surace Movement Radar, even with a very noise image. The aim of the application is to determine the position of aircraft in Advanced Surface Movement Guidance and Control Systems (A-SMGCS). The radar sensor is a prototype operating in the millimetre band (95 Ghz) and conceived for the surveillance function, developed by Oerlikon Contraves Italiana SpA in the framework of the research project on transportation with a grant awarded by the Italian National research Council. The adaptive filter here presented operates by integrating the radar echo over a moving area, filtering the background average value adaptively, and thresholding the result in order to get a fix on the target. The choice of the threshold is a trial and error process which try to find a trade off between the hit rate and the false alarm rate. The filter operate on the composition of two consecutive scans and with completely automatic threshold selections.

Paper Details

Date Published: 9 October 2000
PDF: 9 pages
Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); doi: 10.1117/12.403606
Show Author Affiliations
Enrico Piazza, Navia Aviation AS (Norway)


Published in SPIE Proceedings Vol. 4118:
Parallel and Distributed Methods for Image Processing IV
Hongchi Shi; Patrick C. Coffield; Divyendu Sinha, Editor(s)

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