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Titlebook: Using Historical Maps in Scientific Studies; Applications, Challe Yao-Yi Chiang,Weiwei Duan,Craig A. Knoblock Book 2020 The Author(s), unde

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發(fā)表于 2025-3-21 19:46:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Using Historical Maps in Scientific Studies
副標(biāo)題Applications, Challe
編輯Yao-Yi Chiang,Weiwei Duan,Craig A. Knoblock
視頻videohttp://file.papertrans.cn/945/944567/944567.mp4
叢書名稱SpringerBriefs in Geography
圖書封面Titlebook: Using Historical Maps in Scientific Studies; Applications, Challe Yao-Yi Chiang,Weiwei Duan,Craig A. Knoblock Book 2020 The Author(s), unde
描述This book illustrates the first connection between the map user community and the developers of digital map processing technologies by providing several applications, challenges, and best practices in working with historical maps. After the introduction chapter, in this book, Chapter 2 presents a variety of existing applications of historical maps to demonstrate varying needs for processing historical maps in scientific studies (e.g., thousands of historical maps from a map series vs. a few historical maps from various publishers and with different cartographic styles). Chapter 2 also describes case studies introducing typical types of semi-automatic and automatic digital map processing technologies.?.The case studies showcase the strengths and weaknesses of semi-automatic and automatic approaches by testing them in a symbol recognition task on the same scanned map. Chapter 3 presents the technical challenges and trends in building a map processing, modeling, linking, and publishing framework. The framework will enable querying historical map collections as a unified and structured spatiotemporal source in which individual geographic phenomena (extracted from maps) are modeled (des
出版日期Book 2020
關(guān)鍵詞Extracting data; Historical maps; Modeling; Map modeling; Map applications; Digital map processing; Docume
版次1
doihttps://doi.org/10.1007/978-3-319-66908-3
isbn_softcover978-3-319-66907-6
isbn_ebook978-3-319-66908-3Series ISSN 2211-4165 Series E-ISSN 2211-4173
issn_series 2211-4165
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2020
The information of publication is updating

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發(fā)表于 2025-3-21 20:49:41 | 只看該作者
Yao-Yi Chiang,Weiwei Duan,Stefan Leyk,Johannes H. Uhl,Craig A. Knoblocks is expected to continue. Projections of potential future climates show that the region will probably become considerably warmer and wetter in some parts, but dryer in others. Terrestrial and aquatic ecosystems have already shown adjustments to increased temperatures and are expected to undergo fur
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發(fā)表于 2025-3-22 03:35:26 | 只看該作者
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發(fā)表于 2025-3-22 06:59:21 | 只看該作者
Yao-Yi Chiang,Weiwei Duan,Stefan Leyk,Johannes H. Uhl,Craig A. Knoblock
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發(fā)表于 2025-3-22 11:05:39 | 只看該作者
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發(fā)表于 2025-3-22 14:02:26 | 只看該作者
Yao-Yi Chiang,Weiwei Duan,Stefan Leyk,Johannes H. Uhl,Craig A. Knoblock
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發(fā)表于 2025-3-22 17:30:47 | 只看該作者
Historical Map Applications and Processing Technologies,promising. In many cases, existing digital map processing technologies could help facilitate the digitization process, and it just requires additional knowledge to select an appropriate technology given the problem scope (e.g., the number of maps for processing, map conditions, and style varieties).
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發(fā)表于 2025-3-22 23:44:30 | 只看該作者
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發(fā)表于 2025-3-23 01:37:06 | 只看該作者
Training Deep Learning Models for Geographic Feature Recognition from Historical Maps,e been progressing rapidly with the emergence of Deep Convolutional Neural Networks (DCNNs or CNNs). A key factor for the success of CNNs is the wide availability of large amounts of (labeled) training data, but these training data are mostly for daily images not for historical (or any) maps. Today,
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