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发表刊物：International Journal of Geographic Information Science

摘要：Maps in the form of digital images are widely available in geoportals, Web pages, and other data sources. The metadata of map images, such as spatial extents and place names, are critical for their indexing and searching. However, many map images have either mismatched metadata or no metadata at all. Recent developments in deep learning offer new possibilities for enriching the metadata of map images via image-based information extraction. One major challenge of using deep learning models is that they often require large amounts of training data that have to be manually labeled. To address thi

论文类型：期刊论文

论文编号：10.1080/13658816.2021.1968407

学科门类：理学

一级学科：地理学

文献类型：J

卷号：36

期号：4

页面范围：799-821

是否译文：否

发表时间：2021-08-23

收录刊物：SSCI、SCI

发布期刊链接：https://www.tandfonline.com/doi/full/10.1080/13658816.2021.1968407