Classification of Ocean Surface Slicks in Simulated Hybrid-Polarimetric SAR Data-Reference-Cited by-同舟云学术

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Classification of Ocean Surface Slicks in Simulated Hybrid-Polarimetric SAR Data

Published:2018-12 Issue:12 Volume:56 Page:7062-7073
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Salberg Arnt-Borre^ORCID,Larsen Siri Oyen^ORCID

Funder

EU FP-7 Project SeaU

Norges Forskningsråd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/8543338/08412621.pdf?arnumber=8412621

Cited by 14 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. Ocean Clutter Characterization Based on PolSAR Data and Second-Order Statistics of Elementary Scatterers;Remote Sensing;2023-05-30

2. KECANet: A novel convolutional kernel network for ocean SAR scene classification with limited labeled data;Frontiers in Marine Science;2022-09-14

3. Recent Advances in Oil-Spill Monitoring Using Drone-Based Radar Remote Sensing;Environmental Sciences;2022-09-13

4. Compact Polarimetric Synthetic Aperture Radar for Target Detection: A review;IEEE Geoscience and Remote Sensing Magazine;2022-09

5. Artificial Neural Networks-Based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills;2022 30th European Signal Processing Conference (EUSIPCO);2022-08-29

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