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A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images Based on Deep Learning

Saha, Sudipan and Mou, LiChao and Qiu, Chunping and Zhu, Xiao Xiang and Bovolo, Francesca and Bruzzone, Lorenzo (2020) A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images Based on Deep Learning. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, pp. 1-4. IGARSS 2020, 2020-09-26 - 2020-10-02, Waikoloa, Hawaii, USA. doi: 10.1109/IGARSS39084.2020.9324651. ISBN 978-172816374-1. ISSN 2153-6996.

Full text not available from this repository.

Official URL: https://igarss2020.org/view_paper.php?PaperNum=1390


Item URL in elib:https://elib.dlr.de/139795/
Document Type:Conference or Workshop Item (Speech)
Title:A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images Based on Deep Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Saha, SudipanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mou, LiChaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Qiu, ChunpingTechnical University MünchenUNSPECIFIEDUNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bovolo, FrancescaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bruzzone, LorenzoUniversity of TrentoUNSPECIFIEDUNSPECIFIED
Date:October 2020
Journal or Publication Title:2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/IGARSS39084.2020.9324651
Page Range:pp. 1-4
ISSN:2153-6996
ISBN:978-172816374-1
Status:Published
Keywords:unsupervised segmentation, multitemporal, VHR images, deep learning
Event Title:IGARSS 2020
Event Location:Waikoloa, Hawaii, USA
Event Type:international Conference
Event Start Date:26 September 2020
Event End Date:2 October 2020
Organizer:IEEE
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 - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Bratasanu, Ion-Dragos
Deposited On:18 Dec 2020 13:54
Last Modified:24 Apr 2024 20:40

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