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Mutual Information Analysis of Social Media Images and Building Functions

Hoffmann, Eike Jens and Werner, Martin and Zhu, Xiao Xiang (2019) Mutual Information Analysis of Social Media Images and Building Functions. In: 2019 International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2019, 28. Jul. - 02. Aug. 2019, Yokohama, Japan. doi: 10.1109/IGARSS.2019.8898144.

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Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8898144

Abstract

Understanding urban dynamics requires detailed insights into urban land use. On the most fine-grained level this classification is done on single building instance levels. This level of detail can hardly be solved using remote sensing only, but requires complementary data. Social media images are a promising additional image data source since they are captured on a global scale in vast volumes. In this study we investigate the relation between objects showing up in geotagged social media images and functions of buildings proximate to the image location. We propose a rasterization approach to embed features from images and labels from a target domain to calculate mutual information both domains share. In our study area of Los Angeles, USA, we show that using object detection is a valuable way of extracting features from social media images to predict building functions. Furthermore, we present the most significant object types for five types of buildings

Item URL in elib:https://elib.dlr.de/128122/
Document Type:Conference or Workshop Item (Speech)
Title:Mutual Information Analysis of Social Media Images and Building Functions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hoffmann, Eike JensTU Münchenhttps://orcid.org/0000-0001-7702-0403UNSPECIFIED
Werner, MartinDLRUNSPECIFIEDUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-SiPEOUNSPECIFIEDUNSPECIFIED
Date:2019
Journal or Publication Title:2019 International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/IGARSS.2019.8898144
Page Range:pp. 1-4
Status:Published
Keywords:Building Classification, Social Media, Building Usage, Social Media Image, Complementary Data Source, Urbanland use
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28. Jul. - 02. Aug. 2019
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 - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Hoffmann, Eike Jens
Deposited On:29 Oct 2019 10:21
Last Modified:20 Jun 2021 15:52

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