Automatic Detection and Identification of Floating Marine Debris Using Multispectral Satellite Imagery
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
2. CERENA/DER, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
Funder
PT Space
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10147236.pdf?arnumber=10147236
Reference38 articles.
1. Modelling the distribution of microplastics released by wastewater treatment plants in Ria de Vigo (NW Iberian Peninsula)
2. Evaluating scalable Bayesian deep learning methods for robust computer vision;gustafsson;Proc IEEE/CVF Conf Comput Vis Pattern Recognit Workshops,2019
3. Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods
4. XGBoost
5. Tackling marine litter in the Atlantic area, Deliverable 5.2—Monitoring the presence of marine litter in the marine environment;fronkova,2019
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