Ship Detection with the Nonlocal Information-Based Polarimetric Covariance Matrix-Reference-Cited by-同舟云学术

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Ship Detection with the Nonlocal Information-Based Polarimetric Covariance Matrix

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Zhang Tao¹,Yu Wenxian¹,Zhang Yonghu²,Guo Weiwei³,Li Jing⁴

Affiliation:

1. Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240

2. Hunan Weidao Information Technology Co., LTD,Changsha,China,410205

3. Tongji University,Center of Digital Innovation,Shanghai,China,200092

4. Academy Military Sciences,Research Institute of Systems Engineering,Beijing,China,100850

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281617.pdf?arnumber=10281617

Reference10 articles.

1. Information Reconstruction-Based Polarimetric Covariance Matrix for PolSAR Ship Detection

2. Ship Detection From PolSAR Imagery Using the Hybrid Polarimetric Covariance Matrix

3. Bispace Domain Adaptation Network for Remotely Sensed Semantic Segmentation

4. Ship detection from PolSAR imagery using the ambiguity removal polarimetric notch filter

5. A Notch Filter for Ship Detection With Polarimetric SAR Data

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