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Combining airborne images and open data to retrieve knowledge of construction sites

Jahr, Katrin ; Iwaszczuk, Dorota ; Borrmann, Andre (2019)
Combining airborne images and open data to retrieve knowledge of construction sites.
26th EG-ICE Workshop on Intelligent Computing in Engineering. Leuven (June 30 – July 03, 2019)
Conference or Workshop Item, Bibliographie

Abstract

Construction site planning is based on both explicit knowledge, as retrieved from regulations, and implicit knowledge, arising from experience. To retrieve and formalize rules from implicit knowledge, past construction projects can be analyzed. In this paper, we present an image analysis pipeline to retrieve information on past construction sites from airborne images. We fuse machine learning based image analysis with georeferencing and openly available geospatial data to retrieve a detailed description with true dimensions of the construction site at hand.

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Jahr, Katrin ; Iwaszczuk, Dorota ; Borrmann, Andre
Type of entry: Bibliographie
Title: Combining airborne images and open data to retrieve knowledge of construction sites
Language: English
Date: July 2019
Place of Publication: Leuven
Event Title: 26th EG-ICE Workshop on Intelligent Computing in Engineering
Event Location: Leuven
Event Dates: June 30 – July 03, 2019
Abstract:

Construction site planning is based on both explicit knowledge, as retrieved from regulations, and implicit knowledge, arising from experience. To retrieve and formalize rules from implicit knowledge, past construction projects can be analyzed. In this paper, we present an image analysis pipeline to retrieve information on past construction sites from airborne images. We fuse machine learning based image analysis with georeferencing and openly available geospatial data to retrieve a detailed description with true dimensions of the construction site at hand.

Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute of Geodesy
13 Department of Civil and Environmental Engineering Sciences > Institute of Geodesy > Remote Sensing and Image Analysis
Date Deposited: 04 Oct 2019 06:35
Last Modified: 04 Oct 2019 06:35
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