Abstract
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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References
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© 1998 Springer-Verlag Wien
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Finch, I., Yates, D.F., Delves, L.M. (1998). Detecting Small Features in SAR Images by an ANN. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_30
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DOI: https://doi.org/10.1007/978-3-7091-6492-1_30
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83087-1
Online ISBN: 978-3-7091-6492-1
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