Journal cover Journal topic
Proceedings of the ICA
Journal topic
Articles | Volume 5
07 Aug 2023
 | 07 Aug 2023

Recognition and Semantic Information Extraction for Map Based on Deep Learning

Yong Wang, Kaixuan Du, Xianghong Che, Ruiyuan Ma, and Fu Ren

Keywords: CNN, Map Recognition, Geographic Feature Detection, Semantic Segmentation

Abstract. Geospatial information contained in maps plays an important role in geographic information data acquisition, map understanding, intelligent mapping and other applications. In terms of map recognition and geospatial information extraction from maps, traditional methods that heavily rely on human or human-computer interaction for semantic recognition can no longer meet the real-time needs. In this paper, we first analysed the composition and characteristics of maps, and then systematically illustrated the semantic understanding methods of map image recognition, target detection of geographic features and semantic segmentation of geographic features based on deep learning architecture, which is crucial to intelligent map recognition and mapping.

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