Tag: Micromapping
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3D micro-mapping: Towards assessing the quality of crowdsourcing to support 3D point cloud analysis
Crowdsourcing has been widely applied to extract information from 2D geodata sources such as satellite imagery. In this new study published in the ISPRS Journal of Photogrammetry and Remote Sensing we apply this technique to the growing field of 3D point cloud analysis. This work has been conducted in our 3D-MAPP Project which was funded…
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Crowdsourced Classification of 3D Point Clouds
Within the 3D-MAPP project we currently developed a workflow and a web based tool, that allow volunteers (and experts) to classiffy 3D point clouds in just a few seconds. The approach combines the point cloud interpretation skills of humans and the scalability of crowdsourcing. Furthermore, crowdsourced geographic information can be of high value to automated…
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3D-MicroMapping of Big 3D Geo-Datasets in the Web (3D-MAPP)
Our new research project 3D-MAPP develops a web-based methodology to obtain digital geodata via the combination of data analysis by human and machine. Through a quick and easy-to-use 3D Web visualization users are able – in a few seconds – to solve 3D micro mapping tasks, which can hardly or even not be solved by…