GEO-TAGGED IMAGE RETRIEVAL FROM MAPILLARY STREET IMAGES FOR A TARGET BUILDING

This study aims to investigate the possibility to automate the image selection process for the target building from Mapillary images through a web application where the user only initiates one image of the target building as a query. Using the data provided with Mapillary API and Overpass API, all i...

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Bibliographic Details
Published inInternational archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLIV-4/W3-2020; pp. 151 - 158
Main Authors Çelik, N., Sümer, E.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Gottingen Copernicus GmbH 23.11.2020
Copernicus Publications
Subjects
Applications programs
Buildings
Image management
Image retrieval
Image segmentation
Target recognition
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Summary:This study aims to investigate the possibility to automate the image selection process for the target building from Mapillary images through a web application where the user only initiates one image of the target building as a query. Using the data provided with Mapillary API and Overpass API, all images having full or partial coverage of the target building were selected. Then the images were segmented by using a pre-trained U-Net model to discard any images having less than 20% building coverage. The experiments showed promising results yielding 0.971 and 0.887 of overall accuracy after segmentation steps for two different target buildings.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLIV-4-W3-2020-151-2020