Oriented Ship Detection Based on Soft Thresholding and Context Information in SAR Images of Complex Scenes

Author:

Zhang Chuan1ORCID,Gao Gui2ORCID,Liu Jia3,Duan Dingfeng1ORCID

Affiliation:

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

2. Faculty of Geosciences and Environmental Engineering and the State Key Laboratory of Geo-Information Engineering, Southwest Jiaotong University, Chengdu, China

3. Department of Engineering on Scientific and Technological Systems, DFH Satellite Company Ltd., Beijing, China

Funder

National Nature Science Foundation of China

Innovation Team of the Ministry of Education of China

Innovation Group of Sichuan Natural Science Foundation

Fundamental Research Funds for the Central Universities

CAST Innovation Foundation

State Key Laboratory of Geo-Information Engineering

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Temporal Sentinel-1 SAR Images For Dark Vessel Detection And Classification Using a Circlenet Model;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. R-LRBPNet: A Lightweight SAR Image Oriented Ship Detection and Classification Method;Remote Sensing;2024-04-26

3. Ship Detection by Tiangong-2 Interferometric Imaging Radar Altimeter;2024 Photonics & Electromagnetics Research Symposium (PIERS);2024-04-21

4. Ship Detection From Raw SAR Echoes Using Convolutional Neural Networks;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Source-Assisted Hierarchical Semantic Calibration Method for Ship Detection Across Different Satellite SAR Images;IEEE Transactions on Geoscience and Remote Sensing;2024

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