Building Monitoring through Multimodal Remote Sensing Data and Deep Learning

Yuan, Xiangtian (2025) Building Monitoring through Multimodal Remote Sensing Data and Deep Learning. Dissertation, Universität Osnabrück.

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Document Type:

Thesis (Dissertation)

Title:

Building Monitoring through Multimodal Remote Sensing Data and Deep Learning

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Yuan, Xiangtian	Xiangtian.Yuan (at) dlr.de	https://orcid.org/0000-0001-7648-5938	UNSPECIFIED

DLR Supervisors:

Contribution	DLR Supervisor	Institution or E-Mail	DLR Supervisor's ORCID iD
Thesis advisor	Reinartz, Peter	peter.reinartz (at) dlr.de	https://orcid.org/0000-0002-8122-1475
Thesis advisor	Tian, Jiaojiao	Jiaojiao.Tian (at) dlr.de	https://orcid.org/0000-0002-8407-5098

Date:

2025

Open Access:

Number of Pages:

122

Status:

Published

Keywords:

Building Monitoring, Deep learning, Change detection, Multimodal, Remote Sensing, Satellite imagery

Institution:

Universität Osnabrück

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 - Optical remote sensing

Location:

Oberpfaffenhofen

Institutes and Institutions:

Deposited By:

Tian, Dr Jiaojiao

Deposited On:

20 Aug 2025 10:23

Last Modified:

20 Aug 2025 10:23

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