Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps

Autor:	Min Yang, Tinghua Ai, Xiongfeng Yan, Xiaohua Tong
Rok vydání:	2020
Předmět:	Geospatial analysis Computer science business.industry 05 social sciences Geography Planning and Development 0211 other engineering and technologies 0507 social and economic geography Cognition Pattern recognition 02 engineering and technology Spatial cognition Library and Information Sciences Object (computer science) computer.software_genre Autoencoder Graph (abstract data type) Shape coding Artificial intelligence Representation (mathematics) business 050703 geography computer 021101 geological & geomatics engineering Information Systems
Zdroj:	International Journal of Geographical Information Science. 35:490-512
ISSN:	1362-3087 1365-8816
DOI:	10.1080/13658816.2020.1768260
Popis:	The shape of a geospatial object is an important characteristic and a significant factor in spatial cognition. Existing shape representation methods for vector-structured objects in the map space a...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5bc08b4f59429537f6dd9606c7b65ab6 https://doi.org/10.1080/13658816.2020.1768260 Zobrazit plný text záznamu