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Proceedings Paper

Improvement in automatic detection and recognition of moving targets in Alenia Aerospazio activity
Author(s): Maria Nevia Ferrara; Andrea Gallon; Andrea Torre
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Paper Abstract

In Alenia Aerospazio has been developed a demonstrator for SAR data analysis and automatic target recognition (ATR). The new version we present in this paper introduces some new characteristics. A better sidelobes suppression via the locally variant apodization and a new CFAR processor using a cell-average or an ordered-statistics detector are integrated to the pervious structure to improve the preliminary target detection i.e. the candidate ship detection. After this step and in parallel with the ship wake detection we implement a new and independent way to recognize moving objects with a following improvement in detection performances: the estimation of residual coherent phase error locally present on the focused image, due to the target motion. The test images are referred to the SIR-C/X-SAR mission.

Paper Details

Date Published: 4 December 1998
PDF: 8 pages
Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); doi: 10.1117/12.331853
Show Author Affiliations
Maria Nevia Ferrara, Alenia Aerospazio SpA (Italy)
Andrea Gallon, Alenia Aerospazio SpA (Italy)
Andrea Torre, Alenia Aerospazio SpA (Italy)

Published in SPIE Proceedings Vol. 3500:
Image and Signal Processing for Remote Sensing IV
Sebastiano Bruno Serpico, Editor(s)

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