Ship Segmentation via Encoder-Decoder Network With Global Attention in High-Resolution SAR Images

Ship detection in the synthetic aperture radar (SAR) image is of great significance in the fields of military and coastal defense. Most ship detection methods are designed based on the object detection framework, which can only provide the vertices' coordinates of the bounding box covering the...

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Bibliographic Details
Published in:	IEEE geoscience and remote sensing letters Vol. 19; pp. 1 - 5
Main Authors:	Li, Jichao, Gou, Shuiping, Li, Ruimin, Chen, Jia-Wei, Sun, Xiaolong
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Apexes Coders Convolution Detection Encoder–decoder structure Feature extraction global attention module high-resolution synthetic aperture radar (SAR) images Image processing Image resolution Image segmentation Marine vehicles Methods Modules Neural networks Object recognition Performance evaluation Radar imaging Radar polarimetry SAR (radar) Semantics Shape ship segmentation Synthetic aperture radar Target recognition Wavelet transforms
ISSN:	1545-598X, 1558-0571
Online Access:	Get full text
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