Seabed Classification From Multispectral Multibeam Data
Author:
Affiliation:
1. Remote Sensing Laboratory, National Technical University of Athens, Zographos, Greece
2. Ploa Technology Consultants S.L., Carrer Pic De Peguera 11 Parc Cientific I Tecnolgi Giroemprem A1-11, Girona, Spain
Funder
Greece and the European Union European Social Fund
State Scholarships Foundation
Hellenic Foundation for Research and Innovation
iSEAu EU H2020 MSCA project
NEANIAS EU H2020 project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering
Link
http://xplorestaging.ieee.org/ielx7/48/10183384/10150414.pdf?arnumber=10150414
Reference43 articles.
1. The Backscattering of Sound from a Harbor Bottom
2. ASSESSING THE CONTRIBUTION OF SPECTRAL AND TEMPORAL FEATURES FOR ANNUAL LAND COVER AND CROP TYPE MAPPING
3. High frequency broad band scattering from water-saturated granular sediments: Scaling effects
4. Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction
5. A Multispectral Bayesian Classification Method for Increased Acoustic Discrimination of Seabed Sediments Using Multi-Frequency Multibeam Backscatter Data
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