Artificial intelligence for multisource geospatial information

Artificial intelligence for multisource geospatial information

المؤلف
Gloria Bordogna and Cristiano Fugazza
سنة النشر
2023
الناشر
MDPI
لغة الملف
انكليزي
نوع الملف
Book
تصنيف الكتاب
Computer Science

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.


الكلمات المفتاحية: Machine learning / Classification / Cluster analysis / Sentiment analysis / Trees in cities