A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery

A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery

Marine oil spill pollution has caused serious impacts on marine ecological environments, ecological resources and marine economy. Synthetic Aperture Radar (SAR), especially polarmetric SAR (PolSAR), has been proven to be a powerful and efficient tool for marine oil spill detection. In general, tradi...

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Bibliographic Details
Main Authors: Dongmei Song, Zongjin Zhen, Bin Wang, Xiaofeng Li, Le Gao, Ning Wang, Tao Xie, Ting Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Marine oil spill
RADARSAT-2
PolSAR
deep learning
feature extraction
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/9050656/

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