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Characterization of SAR Clutter and Its Applications to Land and Ocean Observations pp 75–101Cite as

Target Detection and Terrain Classification of Single-Channel SAR Images

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Abstract

With the improving imaging technology of the SAR, more and more high-resolution SAR images are obtained. Interpreting SAR images manually is a vast task and may lead to many mistakes. Therefore, it is greatly necessary to develop the corresponding automatic algorithms. Focusing on the target detection, many algorithms have been developed.

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Authors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Gui Gao

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  1. Gui Gao
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Correspondence to Gui Gao .

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© 2019 National Defense Industry Press, Beijing and Springer Nature Singapore Pte Ltd.

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Gao, G. (2019). Target Detection and Terrain Classification of Single-Channel SAR Images. In: Characterization of SAR Clutter and Its Applications to Land and Ocean Observations. Springer, Singapore. https://doi.org/10.1007/978-981-13-1020-1_3

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  • DOI: https://doi.org/10.1007/978-981-13-1020-1_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1019-5

  • Online ISBN: 978-981-13-1020-1

  • eBook Packages: EngineeringEngineering (R0)

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