Triangle Distance IoU Loss, Attention-Weighted Feature Pyramid Network, and Rotated-SARShip Dataset for Arbitrary-Oriented SAR Ship Detection

Triangle Distance IoU Loss, Attention-Weighted Feature Pyramid Network, and Rotated-SARShip Dataset for Arbitrary-Oriented SAR Ship Detection

In synthetic aperture radar (SAR) images, ship targets are characterized by varying scales, large aspect ratios, dense arrangements, and arbitrary orientations. Current horizontal and rotation detectors fail to accurately recognize and locate ships due to the limitations of loss function, network st...

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Bibliographic Details
Main Authors: Zhijing Xu, Rui Gao, Kan Huang, Qihui Xu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR) image
arbitrary-oriented ship detection
differentiable rotational IoU algorithm
triangle distance IoU loss
attention-weighted feature pyramid network
multiple skip-scale connections
Online Access:https://www.mdpi.com/2072-4292/14/18/4676

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https://www.mdpi.com/2072-4292/14/18/4676

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