- Posted by MGUG Admin
- On October 8, 2021
Classification algorithms for automatically detecting sea surface oil spills from spaceborne Synthetic Aperture Radars (SARs) can usually be regarded as part of a three-step processing framework, which briefly includes image segmentation, feature extraction, and target classification. This CNN is a proposed improvement on existing Machine Learning and image processing technologies.
Read or download the paper over here: