elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Synthetic Aperture Radar based Sea Ice Type Retrieval using Deep Neural Network

Singha, Suman and Imber, James (2019) Synthetic Aperture Radar based Sea Ice Type Retrieval using Deep Neural Network. In: Proceedings of Living Planet Symposium 2019. ESA Living Planet Symposium, 13. - 17. Mai 2019, Mailand, Italien.

[img] PDF - Registered users only until 31 December 2020
62kB

Official URL: https://lps19.esa.int/NikalWebsitePortal/living-planet-symposium-2019/lps19/Agenda/AgendaItemDetail?id=d445fbd6-82ab-44fc-8309-622990bff0f7


Item URL in elib:https://elib.dlr.de/126402/
Document Type:Conference or Workshop Item (Poster)
Title:Synthetic Aperture Radar based Sea Ice Type Retrieval using Deep Neural Network
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Singha, SumanSuman.Singha (at) dlr.dehttps://orcid.org/0000-0002-1880-6868
Imber, JamesJames.Imber (at) dlr.dehttps://orcid.org/0000-0002-0803-5684
Date:May 2019
Journal or Publication Title:Proceedings of Living Planet Symposium 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Deep Learning, Polarimetry, Sea ice, Arctic
Event Title:ESA Living Planet Symposium
Event Location:Mailand, Italien
Event Type:international Conference
Event Dates:13. - 17. Mai 2019
Organizer:ESA & Italian Space Agency
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - SAR-Methodology
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:19 Feb 2019 11:59
Last Modified:29 Nov 2019 09:08

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.