Target detection in SAR imagery by genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @Article{Howard:1999:AES,
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author = "Daniel Howard and Simon C. Roberts and
Richard Brankin",
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title = "Target detection in SAR imagery by genetic
programming",
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journal = "Advances in Engineering Software",
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volume = "30",
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pages = "303--311",
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year = "1999",
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number = "5",
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month = may,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "0965-9978",
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DOI = "doi:10.1016/S0965-9978(98)00093-3",
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URL = "http://www.sciencedirect.com/science/article/B6V1P-3W1XV4H-1/1/6e7aee809f33757d0326c62a21824411",
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abstract = "The automatic detection of ships in low-resolution
synthetic aperture radar (SAR) imagery is investigated
in this article. The detector design objectives are to
maximise detection accuracy across multiple images, to
minimise the computational effort during image
processing, and to minimise the effort during the
design stage. The results of an extensive numerical
study show that a novel approach, using genetic
programming (GP), successfully evolves detectors which
satisfy the earlier objectives. Each detector
represents an algebraic formula and thus the principles
of detection can be discovered and reused. This is a
major advantage over artificial intelligence techniques
which use more complicated representations, e.g. neural
networks.",
- }
Genetic Programming entries for
Daniel Howard
Simon C Roberts
Richard Brankin
Citations