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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Príomhchruthaitheoirí:	Dongmei Song, Zongjin Zhen, Bin Wang, Xiaofeng Li, Le Gao, Ning Wang, Tao Xie, Ting Zhang
Formáid:	Artigo
Teanga:	Inglês
Foilsithe / Cruthaithe:	IEEE 2020-01-01
Sraith:	IEEE Access
Ábhair:	Marine oil spill RADARSAT-2 PolSAR deep learning feature extraction convolutional neural network (CNN)
Rochtain ar líne:	https://ieeexplore.ieee.org/document/9050656/
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A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery

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