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Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data

Lyu, Haobo and Lu, Hui and Mou, Lichao and Li, Wenyu and Wright, Jonathon and Li, Xuecao and Li, Xinlu and Zhu, Xiaoxiang and Wang, Jie and Yu, Le and Gong, Peng (2018) Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data. Remote Sensing, 10 (3), pp. 471-493. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs10030471 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/10/3/471


Item URL in elib:https://elib.dlr.de/120630/
Document Type:Article
Title:Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lyu, HaoboTsinghua UniversityUNSPECIFIED
Lu, HuiTsinghua UniversityUNSPECIFIED
Mou, LichaoTechnical University of Munich & German Aerospace CenterUNSPECIFIED
Li, WenyuTsinghua UniversityUNSPECIFIED
Wright, JonathonTsinghua UniversityUNSPECIFIED
Li, XuecaoIowa State UniversityUNSPECIFIED
Li, XinluTsinghua UniversityUNSPECIFIED
Zhu, XiaoxiangGerman Aerospace Center & Technical University of MunichUNSPECIFIED
Wang, JieChinese Academy of SciencesUNSPECIFIED
Yu, LeTsinghua UniversityUNSPECIFIED
Gong, PengTsinghua UniversityUNSPECIFIED
Date:2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:10
DOI :10.3390/rs10030471
Page Range:pp. 471-493
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:urban mapping; deep learning; recurrent neural network; transfer learning; long time series
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Mou, LiChao
Deposited On:27 Jun 2018 13:21
Last Modified:21 Sep 2019 05:06

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