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Proceedings Paper

Real-time SAR change-detection using neural networks
Author(s): Christopher John Oliver; Richard Geoffrey White
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Paper Abstract

This paper describes the techniques evolved at RSRE for the production of undistorted, focused synthetic aperture radar (SAR) images, target detection using a neural network method and the automatic detection of changes between pairs of SAR images. All these processes are achievable in a single pipelined process operating on an input data rate in excess of 10 Mbytes/second.

Paper Details

Date Published: 1 November 1990
PDF: 11 pages
Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); doi: 10.1117/12.23463
Show Author Affiliations
Christopher John Oliver, Royal Signals and Radar Establishment (United Kingdom)
Richard Geoffrey White, Royal Signals and Radar Establishment (United Kingdom)


Published in SPIE Proceedings Vol. 1348:
Advanced Signal Processing Algorithms, Architectures, and Implementations
Franklin T. Luk, Editor(s)

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