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SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images., , , , , , и . Comput. Environ. Urban Syst., (марта 2023)Fusion de connaissances imparfaites pour l'appariement de données géographiques : proposition d'une approche s'appuyant sur la théorie des fonctions de croyance. (Imperfect knowledge fusion for matching geographical data : approach based on belief theory).. University of Paris-Est, France, (2008)Assessing Crowdsourced POI Quality: Combining Methods Based on Reference Data, History, and Spatial Relations., , , и . ISPRS Int. J. Geo Inf., 6 (3): 80 (2017)Potential of Crowdsourced Traces for Detecting Updates in Authoritative Geographic Data., , , и . AGILE Conference, стр. 205-221. Springer, (2019)Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information., , , , , , и . GeoInformatica, 20 (3): 503-527 (2016)A Filtering-Based Approach for Improving Crowdsourced GNSS Traces in a Data Update Context., , , и . ISPRS Int. J. Geo Inf., 8 (9): 380 (2019)Knowledge formalization for vector data matching using belief theory., , и . J. Spatial Inf. Sci., 10 (1): 21-46 (2015)Is the radial distance really a distance? An analysis of its properties and interest for the matching of polygon features., , , и . Int. J. Geogr. Inf. Sci., 37 (2): 438-475 (2023)A data fusion-based framework to integrate multi-source VGI in an authoritative land use database., , , , и . Int. J. Digit. Earth, 14 (4): 480-509 (2021)HierU-Net: A Hierarchical Semantic Segmentation Method for Land Cover Mapping., , , , , , и . IEEE Trans. Geosci. Remote. Sens., (2024)