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Land-cover classification and forest monitoring with self-supervised Learning

Chauvel, Benjamin and Bueso Bello, Jose Luis (2023) Land-cover classification and forest monitoring with self-supervised Learning. Other. Student thesis. ENSTA Bretagne.

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Item URL in elib:https://elib.dlr.de/194252/
Document Type:Monograph (Other, Student thesis)
Title:Land-cover classification and forest monitoring with self-supervised Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Chauvel, BenjaminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bueso Bello, Jose LuisUNSPECIFIEDhttps://orcid.org/0000-0003-3464-2186UNSPECIFIED
Date:2023
Refereed publication:No
Open Access:No
Status:Published
Keywords:Synthetic Aperture Radar, TanDEM-X, rainforest, forest mapping, deforestation monitoring, deep learning, convolutional neural network, self-supervised learning, machine learning
Institution:ENSTA Bretagne
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Support TerraSAR-X/TanDEM-X operations
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Bueso Bello, Jose Luis
Deposited On:14 Mar 2023 13:01
Last Modified:27 Nov 2023 09:49

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