Oil Spill Detection in UAV-based Environmental Monitoring Using Lightweight Deep Learning Architectures

This paper presents the development and evaluation of a lightweight onboard deep learning module for real-time oil spill detection within a distributed UAV-based maritime environmental monitoring system. The study investigates four object detection architectures under controlled training conditions using both baseline and augmented dataset configurations: three convolutional one-stage detectors…