تحسين النتائح
ترتيب حسب
من
الى
الصفحة 1
الصفحة 1
Artificial intelligence for multisource geospatial information
Collects 10 original research contributions published in the Special Issue entitled “Artificial Intelligence for Multisource Geospatial Information” of the ISPRS International Journal of Geo-Information. The focus is on different methods of Geospatial Artificial Intelligence (GeoAI) based on deep learning using different network architectures, clustering, soft computing, and semantic approaches. They are proposed to deal with a variety of Geospatial Big Data (GBD), such as georeferenced texts and photos in social networks, remote sensing images, cartographic maps, multidimensional geo databases, metadata in spatial data infrastructures, and for different tasks, such as for multisource georeferenced text integration and geodata flexible querying, for social sensing by applying sentiment analysis, clustering and geo analysis, for segmentation of roads, clouds and snow, and for detection of small targets and people on the streets.
Advances in 3D Geo Information Systems
The individual papers represent a valuable collection of information on the current state-of-the-art research in the field of 3D geoinformation. It covers a range of these challenges, collected under the themes of Applications, Acquisition, Modelling, Analysis and Visualisation. The main strength of the collection concerns the data modelling and DBMS implementation issues with 3D GIS.
