MT-FANet: A Morphology and Topology-Based Feature Alignment Network for SAR Ship Rotation Detection

MT-FANet: A Morphology and Topology-Based Feature Alignment Network for SAR Ship Rotation Detection

In recent years, ship target detection in synthetic aperture radar (SAR) images has significantly progressed due to the rapid development of deep learning (DL). However, since only the spatial feature information of ship targets is utilized, the current DL-based SAR ship detection approaches cannot...

Full description

Bibliographic Details
Main Authors: Qianqian Liu, Dong Li, Renjie Jiang, Shuang Liu, Hongqing Liu, Suqi Li
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
ship target detection
rotating bounding boxes
morphology features
topological structure information
Online Access:https://www.mdpi.com/2072-4292/15/12/3001

Internet

https://www.mdpi.com/2072-4292/15/12/3001

Similar Items