Comparison of Oil Spill Classifications Using Fully and Compact Polarimetric SAR Images
In this paper, we present a comparison between several algorithms for oil spill classifications using fully and compact polarimetric SAR images. Oil spill is considered as one of the most significant sources of marine pollution. As a major difficulty of SAR-based oil spill detection algorithms is th...
Main Authors: | Yuanzhi Zhang, Yu Li, X. San Liang, Jinyeu Tsou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/7/2/193 |
Similar Items
-
Multi-Feature Based Ocean Oil Spill Detection for Polarimetric SAR Data Using Random Forest and the Self-Similarity Parameter
by: Shengwu Tong, et al.
Published: (2019-02-01) -
Performance Analysis of Internal Solitary Wave Detection and Identification Based on Compact Polarimetric SAR
by: Hao Zhang, et al.
Published: (2020-01-01) -
Application of Deep Networks to Oil Spill Detection Using Polarimetric Synthetic Aperture Radar Images
by: Guandong Chen, et al.
Published: (2017-09-01) -
A Combination of Traditional and Polarimetric Features for Oil Spill Detection Using TerraSAR-X
by: Suman Singha, et al.
Published: (2016-01-01) -
Ocean Oil Spill Classification with RADARSAT-2 SAR Based on an Optimized Wavelet Neural Network
by: Dongmei Song, et al.
Published: (2017-08-01)