Retrieving Oil-Water Mixture Ratios of Marine Oil Spills From L-Band SAR Imagery-Reference-Cited by-同舟云学术

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Retrieving Oil-Water Mixture Ratios of Marine Oil Spills From L-Band SAR Imagery

Published:2022 Issue: Volume:60 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zheng Honglei¹^ORCID,Gou Chunyu²^ORCID,Khenchaf Ali³,Wang Yunhua¹^ORCID,Zhang Yanmin¹^ORCID

Affiliation:

1. Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China

2. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China

3. Lab-STICC, UMR CNRS 6285 ENSTA, Bretagne, Brest, France

Funder

National Natural Science Foundation of China

Joint Funds of the National Natural Science Foundation of China

Natural Science Foundation of Shandong Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09953157.pdf?arnumber=9953157

Reference40 articles.

1. Dioctyl sulfosuccinate analysis in near-shore Gulf of Mexico water by direct-injection liquid chromatography–tandem mass spectrometry

2. On radar imaging of current features: 1. Model and comparison with observations

3. Polarimetric Analysis of Backscatter From the Deepwater Horizon Oil Spill Using L-Band Synthetic Aperture Radar

4. A Multisensor Comparison of Experimental Oil Spills in Polarimetric SAR for High Wind Conditions

5. Theoretical model for scattering of radar signals in Ku- and C-bands from a rough sea surface with breaking waves

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2. The evidentiary challenges of using satellite technologies to enforce ship-source marine pollution standards on the high seas;Heliyon;2024-02

3. Oil Spill Timely Backtracking Oriented by Wind Field Correction With Self-Attention Temporal Convolutional Networks;IEEE Journal of Oceanic Engineering;2023

4. Estimating Oil–Water Mixing Ratios of Marine Oil Spills From L-Band Fully Polarimetric SAR Images;IEEE Geoscience and Remote Sensing Letters;2023

5. Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification;IEEE Transactions on Geoscience and Remote Sensing;2022

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