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Oil Spill Detection

Os principais sistemas de detecção e identificação da poluição marítima por hidrocarbonetos são os sensores de Radar de Abertura Sintética (SAR)

Refs

  • Oil Spill Identification from Satellite Images Using Deep Neural Networks.
  • Observing Marine Pollution with Synthetic Aperture Radar
  • Compositional Oil Spill Detection Based on Object Detector and Adapted Segment Anything Model from SAR Images (2024)
  • Semi-Supervised oil spill detection of SAR images based on pseudo-labelling (2024)
  • Multiphysical Interpretable Deep Learning Network for Oil Spill Identification Based on SAR Images (2024)
  • Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation

Dataset: Sensor: COSMO-SkyMed

Eyesea Method

Conclusions

  • Current segmentation models are not trainable by fine tuning for this task
  • combination of focal and dice loss have the best results for segmentation of oil spill
  • Bigger datasets are key to improve this models