CHIDE
发表于 2025-3-23 10:39:30
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Dna262
发表于 2025-3-23 14:16:12
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Pageant
发表于 2025-3-23 20:08:35
An Image Segmentation Process Enhancement for Land Cover Mapping from Very High Resolution Remote Sencreased need for large scale mapping (1:10000) for local territorial monitoring led to think about mapping production. Nowadays mapping production for land cover and land use (LUC) is mainly performed with human photo-interpretation. This approach can be extremely time consuming, expensive and tedi
起皱纹
发表于 2025-3-23 22:55:00
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audiologist
发表于 2025-3-24 03:14:50
Encoding and Querying Historic Map Contentstoric map content is covered by the provided metadata only to a very limited degree, and thus is not available in a machine-readable form. A formal representation would support querying for and reasoning over detailed semantic contents of maps, instead of only map documents. From a historian’s pers
姑姑在炫耀
发表于 2025-3-24 08:57:10
Book 2014on Geographic Information Science, held in 2014 in Castellón, Spain. The scientific papers cover a variety of fundamental research topics as well as applied research in Geospatial Information Science, including measuring spatiotemporal phenomena, crowdsourcing and VGI, geosensor networks, indoor nav
马具
发表于 2025-3-24 14:10:26
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美丽的写
发表于 2025-3-24 18:05:46
https://doi.org/10.1007/b103637amine the River Elbe Flood in Germany in June 2013. The results show that our approach based on geographical relations can enhance information extraction from volunteered geographic information, thus being valuable for both crisis response and preventive flood monitoring.
食草
发表于 2025-3-24 21:40:43
Erweiterungen und Alternativen zur TCG,ribe map contents more explicitly. We suggest ways to formally encode historic map content in an approximate . manner which still allows useful queries. We discuss tools for georeferencing and enriching historic map descriptions by external sources, such as DBpedia. We demonstrate the use of this approach by content queries on map examples.
escalate
发表于 2025-3-25 00:09:42
Estimation of Building Types on OpenStreetMap Based on Urban Morphology Analysisan distinguish industrial buildings and accessory buildings for storage with high accuracies. However, public buildings and commercial buildings are difficult to be estimated, since their footprints reveal a large diversity in shape and size.