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Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks

Sun, Yao and Mou, LiChao and Wang, Yuanyuan and Montazeri, Sina and Zhu, Xiao Xiang (2022) Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks. ISPRS Journal of Photogrammetry and Remote Sensing, 184, pp. 79-95. Elsevier. doi: 10.1016/j.isprsjprs.2021.11.024. ISSN 0924-2716.

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Official URL: https://www.sciencedirect.com/science/article/pii/S0924271621003221


Item URL in elib:https://elib.dlr.de/145978/
Document Type:Article
Title:Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sun, YaoUNSPECIFIEDhttps://orcid.org/0000-0003-2757-1527UNSPECIFIED
Mou, LiChaoUNSPECIFIEDhttps://orcid.org/0000-0001-8407-6413UNSPECIFIED
Wang, YuanyuanUNSPECIFIEDhttps://orcid.org/0000-0002-0586-9413UNSPECIFIED
Montazeri, SinaUNSPECIFIEDhttps://orcid.org/0000-0002-6732-1381UNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:February 2022
Journal or Publication Title:ISPRS Journal of Photogrammetry and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:184
DOI:10.1016/j.isprsjprs.2021.11.024
Page Range:pp. 79-95
Publisher:Elsevier
ISSN:0924-2716
Status:Published
Keywords:Building height; Bounding box regression; Deep convolutional neural network (CNN); Geographic information system (GIS); Large-scale urban areas; Synthetic aperture radar (SAR)
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 - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Sun, Yao
Deposited On:02 Dec 2021 12:04
Last Modified:19 Oct 2023 13:40

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