Multi-task deep learning strategy for map-type classification

IF 2.6 3区地球科学 Q1 GEOGRAPHY

Cartography and Geographic Information Science Pub Date : 2024-07-04 DOI:10.1080/15230406.2024.2368574

Yi Wen, Xiran Zhou, Kaiyuan Li, Honghao Li, Zhigang Yan

引用次数: 0

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地图类型分类的多任务深度学习策略

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cartography and Geographic Information Science GEOGRAPHY-

CiteScore

5.20

自引率

20.00%

发文量

期刊介绍： Cartography and Geographic Information Science (CaGIS) is the official publication of the Cartography and Geographic Information Society (CaGIS), a member organization of the American Congress on Surveying and Mapping (ACSM). The Cartography and Geographic Information Society supports research, education, and practices that improve the understanding, creation, analysis, and use of maps and geographic information. The society serves as a forum for the exchange of original concepts, techniques, approaches, and experiences by those who design, implement, and use geospatial technologies through the publication of authoritative articles and international papers.