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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3352098
Abstract: Ship detection in synthetic aperture radar (SAR) images using deep neural networks often relies on horizontal bounding box, which fail to capture ship orientation and aspect ratio accurately. To address this limitation, oriented ship detection…
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Keywords:
detection;
ship detection;
oriented sar;
sar ship ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3555330
Abstract: In oriented synthetic aperture radar (SAR) ship detection task, convolutional neural network based detectors have dramatically improved the detection performance, but enormous parameters make it difficult to realize model lightweighting. Recently, DETR and its variants…
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Keywords:
detection;
object detection;
oriented sar;
ship ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3145568
Abstract: Synthetic Aperture Radar (SAR) is an important means for target surveillance through reconstructing the microwave image of the observation area. However, under the condition of low signal-to-clutter ratio (SCR), such as a strong sea clutter…
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Keywords:
improvement;
sar imaging;
target oriented;
oriented sar ... See more keywords