Big Plastic Masses Detection using Sentinel 2 Images

2021/03/17 by Martin-Rodriguez, Fernando
#FOS: Computer and information sciences #FOS: Electrical engineering #I.2.6 #Image and Video Processing (eess.IV) #Neural and Evolutionary Computing (cs.NE) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2103.09560

Abstract

This communication describes a preliminary research on detection of big masses of plastic (marine litter) on the oceans and seas using EO (Earth Observation) satellite systems. Free images from the Sentinel 2 (Copernicus Project) platform are used. To develop a plastic recognizer, we start with an image where we can find a big accumulation of "nonfloating" plastic: Almería greenhouses. We made a test using remote sensing differential indexes, but we got much better results using all available wavelengths (thirteen frequency bands) and applying Neural Networks to that feature vector.

Related

• Detection of marine floating plastic using Sentinel-2 imagery and machine learning models
• Large-scale Detection of Marine Debris in Coastal Areas with Sentinel-2
• Spectral Analysis of Marine Debris in Simulated and Observed Sentinel-2/MSI Images using Unsupervised Classification
• A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models
• Implementing Edge Based Object Detection For Microplastic Debris