BO-DRNet: An Improved Deep Learning Model for Oil Spill Detection by Polarimetric Features from SAR Images

BO-DRNet: An Improved Deep Learning Model for Oil Spill Detection by Polarimetric Features from SAR Images

Oil spill pollution at sea causes significant damage to marine ecosystems. Quad-polarimetric Synthetic Aperture Radar (SAR) has become an essential technology since it can provide polarization features for marine oil spill detection. Using deep learning models based on polarimetric features, oil spi...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Dawei Wang, Jianhua Wan, Shanwei Liu, Yanlong Chen, Muhammad Yasir, Mingming Xu, Peng Ren
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-01-01
Sarja:Remote Sensing
Aiheet:
deep learning model
oil spill detection
polarization feature
SAR images
Linkit:https://www.mdpi.com/2072-4292/14/2/264

Internet

https://www.mdpi.com/2072-4292/14/2/264

Samankaltaisia teoksia