<monospace>CroMoDa</monospace>: Unsupervised Oriented SAR Ship Detection via Cross-Modality Distribution Alignment

Most state-of-the-art synthetic aperture radar (SAR) ship detection methods based on deep learning require large amounts of labeled data for network training. However, the annotation process requires significant manpower and resources especially for SAR images, since relevant background knowledge sh...

Full description

Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Xi Chen, Zhirui Wang, Wenhao Wang, Xinyi Xie, Jian Kang, Ruben Fernandez-Beltran
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Cross modality synthetic aperture radar (SAR) synthetic aperture radar ship detection transfer learning unsupervised object detection
Online Access:	https://ieeexplore.ieee.org/document/10578309/