Oil Spill Detection with Dual-Polarimetric Sentinel-1 SAR Using Superpixel-Level Image Stretching and Deep Convolutional Neural Network

Oil Spill Detection with Dual-Polarimetric Sentinel-1 SAR Using Superpixel-Level Image Stretching and Deep Convolutional Neural Network

Synthetic aperture radar (SAR) has been widely applied in oil spill detection on the sea surface due to the advantages of wide area coverage, all-weather operation, and multi-polarization characteristics. Sentinel-1 satellites can provide dual-polarized SAR data, and they have high potential for suc...

Full description

Bibliographic Details
Main Authors: Jin Zhang, Hao Feng, Qingli Luo, Yu Li, Yu Zhang, Jian Li, Zhoumo Zeng
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
oil spill detection
convolutional neural network
superpixel segmentation
image stretching
Online Access:https://www.mdpi.com/2072-4292/14/16/3900

Internet

https://www.mdpi.com/2072-4292/14/16/3900

Similar Items