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Wei et al., 2023 - Google Patents

SCV-UNet: Saliency-Combined Complex-Valued U-Net for SAR Ship Target Segmentation

Wei et al., 2023

Document ID
14250976948521349378
Author
Wei C
Ji Z
Wei M
Zhang Y
Yuan H
Publication year
Publication venue
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium

External Links

Snippet

Since synthetic aperture radar (SAR) can observe all-weather, it is widely used in ship target detection and segmentation tasks. However, SAR images have complex backgrounds and clutter interference, which affect the segmentation accuracy. This paper proposes a saliency …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
    • G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
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    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
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