TKP-Net: A Three Keypoint Detection Network for Ships Using SAR Imagery-Reference-Cited by-同舟云学术

TKP-Net: A Three Keypoint Detection Network for Ships Using SAR Imagery

Published:2024 Issue: Volume:17 Page:364-376
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Xiunan¹^ORCID,Chen Peng²^ORCID,Yang Jingsong¹^ORCID,An Wentao³^ORCID,Zheng Gang²^ORCID,Luo Dan²^ORCID,Lu Aiying²^ORCID,Wang Zimu²^ORCID

Affiliation:

1. Ocean College, Zhejiang University, Zhoushan, China

2. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China

3. National Satellite Ocean Application Service, Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing, China

Funder

National Key R&D Program of China

China High Resolution Earth Observation System Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10304198.pdf?arnumber=10304198

Reference50 articles.

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

2. Multi-Scale Rotation-Invariant Haar-Like Feature Integrated CNN-Based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery

3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

4. Fast R-CNN

5. CFAR Ship Detection in Nonhomogeneous Sea Clutter Using Polarimetric SAR Data Based on the Notch Filter

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