Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 545333
Title Multi-label building functions classification from ground pictures using convolutional neural networks
Author(s) Srivastava, S.; Vargas Muñoz, John E.; Swinkels, David; Tuia, D.
Source In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. - New York : ACM - ISBN 9781450360364 - p. 43 - 46.
Event New York : ACM - ISBN 9781450360364 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Seattle, 2018-11-06/2018-11-06
DOI https://doi.org/10.1145/3281548.3281559
Department(s) Laboratory of Geo-information Science and Remote Sensing
PE&RC
Publication type Contribution in proceedings
Publication year 2018
Abstract We approach the problem of multi building function classification for buildings from the city of Amsterdam using a collection of Google Street View (GSV) pictures acquired at multiple zoom levels (field of views, FoV) and the corresponding governmental census data per building. Since buildings can have multiple usages, we cast the problem as multilabel classification task. To do so, we trained a CNN model end-to-end with the task of predicting multiple co-occurring building function classes per building. We fuse the individual features of three FoVs by using volumetric stacking. Our proposed model outperforms baseline CNN models that use either single or multiple FoVs.
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