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FusioNet: A Two-Stream Convolutional Neural Network for Urban Scene Classification using PolSAR and Hyperspectral Data

Hu, Jingliang and Mou, Lichao and Schmitt, Andreas and Zhu, Xiao Xiang (2017) FusioNet: A Two-Stream Convolutional Neural Network for Urban Scene Classification using PolSAR and Hyperspectral Data. In: 2017 Joint Urban Remote Sensing Event, JURSE 2017, pp. 1-4. JURSE 2017, 6 - 8 March 2017, Dubai, UAE.

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Item URL in elib:https://elib.dlr.de/109112/
Document Type:Conference or Workshop Item (Speech)
Title:FusioNet: A Two-Stream Convolutional Neural Network for Urban Scene Classification using PolSAR and Hyperspectral Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hu, Jingliangjingliang.hu (at) dlr.deUNSPECIFIED
Mou, Lichaolichao.mou (at) dlr.deUNSPECIFIED
Schmitt, Andreasandreas.schmitt (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:March 2017
Journal or Publication Title:2017 Joint Urban Remote Sensing Event, JURSE 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:PolSAR, Hyperspectral image, data fusion, convolution neural network, land use classification, urban, HySpex
Event Title:JURSE 2017
Event Location:Dubai, UAE
Event Type:international Conference
Event Dates:6 - 8 March 2017
Organizer:Masdar Institute of Science and Technology, UAE
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 - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Hu, Jingliang
Deposited On:07 Dec 2016 14:55
Last Modified:08 Feb 2018 13:02

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