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In road networks, for instance, there are many patterns and structures that are implicit with only road line features, among which highway interchange appeared very complex to recognize with vector-based techniques. The goal is to find the roads that belong to an interchange, such as the slip roads and the highway roads connected to the slip roads. To go further than state-of-the-art vector-based techniques, this article proposes to use raster-based deep learning techniques to recognize highway interchanges. The contribution of this work is to study how to optimally convert vector data into small images suitable for state-of-the-art deep learning models. Image classification with a convolutional neural network (i.e., is there an interchange in this image or not?) and image segmentation with a u-net (i.e., find the pixels that cover the interchange) are experimented and give better results than existing vector-based techniques in this specific use case (99.5% against 74%).<\/jats:p>","DOI":"10.1145\/3382080","type":"journal-article","created":{"date-parts":[[2020,4,15]],"date-time":"2020-04-15T18:17:10Z","timestamp":1586974630000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["Deep Learning for Enrichment of Vector Spatial Databases"],"prefix":"10.1145","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6113-6903","authenticated-orcid":false,"given":"Guillaume","family":"Touya","sequence":"first","affiliation":[{"name":"Universit\u00e9 of Gustave Eiffel, LASTIG, Univ Gustave Eiffel, ENSG, IGN, Saint-Mande, France"}]},{"given":"Imran","family":"Lokhat","sequence":"additional","affiliation":[{"name":"Universit\u00e9 of Gustave Eiffel, LASTIG, Univ Gustave Eiffel, ENSG, IGN, Saint-Mande, France"}]}],"member":"320","published-online":{"date-parts":[[2020,4,15]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.199"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2719863"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054250"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the International Cartographic Conference.","author":"Dogru Ahmet Ozgur","year":"2007","unstructured":"Ahmet Ozgur Dogru, Nico Van de Weghe, Necla Ulugtekin, and Philippe De Maeyer. 2007. 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