Feature Selection for Identifying Optimal Microwave Frequencies to Detect Floating Macroplastic Litter in C and X Bands-Reference-Cited by-同舟云学术

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Feature Selection for Identifying Optimal Microwave Frequencies to Detect Floating Macroplastic Litter in C and X Bands

Published:2024-03-17 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 18th European Conference on Antennas and Propagation (EuCAP)
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Author:

Da Costa Tomás Soares¹,Felício João M.¹,Vala Mário¹,Leonor Nuno²,Costa Jorge R.¹,Marques Paulo³,Moreira António A.¹,Caldeirinha Rafael²,Matos Sérgio A.¹,Fernandes Carlos A.¹,Fonseca Nelson J.G.⁴,De Maagt Peter⁴

Affiliation:

1. Instituto de Telecomunicações (IT), Instituto Superior Tecnico (IST), Universidade de Lisboa (UL),Lisbon,Portugal

2. Polytechnic Institute of Leiria (IPLeiria), Instituto de Telecomunicações (IT),Leiria,Portugal

3. Instituto Superior de Engenharia de Lisboa (ISEL),Lisboa,Portugal

4. Antenna and Sub-Millimetre Waves Section, European Space Agency (ESA),Noordwijk,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10500901/10500902/10501024.pdf?arnumber=10501024

Reference21 articles.

1. Toward the Integrated Marine Debris Observing System

2. Assessment of marine litter through remote sensing: recent approaches and future goals

3. Concept for a hyperspectral remote sensing algorithm for floating marine macro plastics

4. Mapping coastal marine debris using aerial imagery and spatial analysis

5. Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery

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