Large-scale detection and categorization of oil spills from SAR images with deep learning

06/24/2020
by   Filippo Maria Bianchi, et al.
0

We propose a deep learning framework to detect and categorize oil spills in synthetic aperture radar (SAR) images at a large scale. By means of a carefully designed neural network model for image segmentation trained on an extensive dataset, we are able to obtain state-of-the-art performance in oil spill detection, achieving results that are comparable to results produced by human operators. We also introduce a classification task, which is novel in the context of oil spill detection in SAR. Specifically, after being detected, each oil spill is also classified according to different categories pertaining to its shape and texture characteristics. The classification results provide valuable insights for improving the design of oil spill services by world-leading providers. As the last contribution, we present our operational pipeline and a visualization tool for large-scale data, which allows to detect and analyze the historical presence of oil spills worldwide.

READ FULL TEXT

page 5

page 6

page 12

page 13

page 14

page 16

page 18

research
04/02/2022

SAD: A Large-scale Dataset towards Airport Detection in Synthetic Aperture Radar Images

Airports have an important role in both military and civilian domains. T...
research
03/15/2021

Boosting ship detection in SAR images with complementary pretraining techniques

Deep learning methods have made significant progress in ship detection i...
research
12/17/2021

Oil Spill SAR Image Segmentation via Probability Distribution Modelling

Segmentation of marine oil spills in Synthetic Aperture Radar (SAR) imag...
research
10/11/2019

Snow avalanche segmentation in SAR images with Fully Convolutional Neural Networks

Knowledge about frequency and location of snow avalanche activity is ess...
research
05/03/2021

Improving Landslide Detection on SAR Data through Deep Learning

In this letter, we use deep-learning convolution neural networks (CNNs) ...
research
04/20/2022

Hephaestus: A large scale multitask dataset towards InSAR understanding

Synthetic Aperture Radar (SAR) data and Interferometric SAR (InSAR) prod...
research
12/05/2017

Joint Embedding and Classification for SAR Target Recognition

Deep learning can be an effective and efficient means to automatically d...

Please sign up or login with your details

Forgot password? Click here to reset