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Deep Learning Impact in Forest Monitoring Using TanDEM-X Data

Mazza, Antonio and Scarpa, Giuseppe and Sica, Francescopaolo and Rizzoli, Paola (2019) Deep Learning Impact in Forest Monitoring Using TanDEM-X Data. TanDEM-X Science Meeting, 2019-10-21 – 2019-10-24, Oberpfaffenhofen.

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Item URL in elib:https://elib.dlr.de/133449/
Document Type:Conference or Workshop Item (Poster)
Title:Deep Learning Impact in Forest Monitoring Using TanDEM-X Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Mazza, AntonioUniversity of Naples Federico IIUNSPECIFIED
Scarpa, Giuseppegiuseppe.scarpa (at) unina.itUNSPECIFIED
Sica, FrancescopaoloFrancescopaolo.Sica (at) dlr.dehttps://orcid.org/0000-0003-1593-1492
Rizzoli, PaolaPaola.Rizzoli (at) dlr.dehttps://orcid.org/0000-0001-9118-2732
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Deep Learning, Forest Monitoring, TanDEM-X
Event Title:TanDEM-X Science Meeting
Event Location:Oberpfaffenhofen
Event Type:international Conference
Event Dates:2019-10-21 – 2019-10-24
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 - Projekt TanDEM-X (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Deposited By: Sica, Dr. Francescopaolo
Deposited On:13 Jan 2020 10:28
Last Modified:13 Jan 2020 10:28

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