Real-time SAR change-detection using neural networks

Christopher John Oliver; Richard Geoffrey White

doi:10.1117/12.23463

1 November 1990 Real-time SAR change-detection using neural networks

Christopher John Oliver, Richard Geoffrey White

Proceedings Volume 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations; (1990) https://doi.org/10.1117/12.23463
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Christopher John Oliver and Richard Geoffrey White "Real-time SAR change-detection using neural networks", Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); https://doi.org/10.1117/12.23463

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