Text-Enhanced Multimodal Method for SAR Ship Classification With Geometry and Polarization Information

Text-Enhanced Multimodal Method for SAR Ship Classification With Geometry and Polarization Information

Synthetic aperture radar (SAR) ship classification is crucial for maritime surveillance. Most existing methods primarily focus on visual or polarimetric features, often constrained by a limited feature set and facing challenges in data diversity and multimodal information integration. This study int...

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Bibliographic Details
Main Authors: Jinyue Chen, Youming Wu, Wei Dai, Wenhui Diao, Yang Li, Xin Gao, Xian Sun
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Dual-polarization
geometry information embedding
multimodal learning
ship classification
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/10925632/
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https://ieeexplore.ieee.org/document/10925632/

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