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Obstacle Identification by an Ultrasound Sensor Using Neural Networks Read chapter Read first chapter

1998 | OriginalPaper | Chapter

Detecting Small Features in SAR Images by an ANN

Authors : I. Finch, D. F. Yates, L. M. Delves

Published in: Artificial Neural Nets and Genetic Algorithms

Publisher: Springer Vienna

Included in: Professional Book Archive

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Synthetic aperture radar (SAR) images are intrinsically noisy, and processing them attracts a high computational overhead. This paper relates to developments, involving the use of an ANN to reduce the overhead, in respect of earlier work by the authors on the identification of small objects. It describes how the ANN is utilised, and how it was trained using an artificially created training set.

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Metadata
Title
Detecting Small Features in SAR Images by an ANN
Authors
I. Finch
D. F. Yates
L. M. Delves
Copyright Year
1998
Publisher
Springer Vienna
Book
Artificial Neural Nets and Genetic Algorithms

Print ISBN: 978-3-211-83087-1

Electronic ISBN: 978-3-7091-6492-1

Copyright Year: 1998

DOI
https://doi.org/10.1007/978-3-7091-6492-1_30