Artificial Intelligence for Multisource Geospatial Information
This reprint 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) bas...
Wedi'i Gadw mewn:
| Fformat: | Online |
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| Iaith: | Saesneg |
| Cyhoeddwyd: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20230202_9783036563879_66 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869530500629004288 |
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| collection | Directory of Open Access Books |
| description | This reprint 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. |
| format | Online |
| id | doab-20.500.12854ir-96665 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-966652024-04-11T15:10:19Z Artificial Intelligence for Multisource Geospatial Information Bordogna, Gloria Fugazza, Cristiano geosemantics implicit semantics formal semantics powerful semantics satellite image semantic segmentation encoder–decoder CNN TH-1 cloud and snow detection label quality street crime people on the street streetscape Baidu Street View image spatial lag negative binomial regression deep learning convolutional neural network backbone network target detection remote sensing images segmentation high resolution transformer OLAP fuzzy SOLAP-based framework fuzzy spatiotemporal queries fuzzy spatiotemporal predictive query fuzzy query visualization machine learning classification LiDAR 3D point cloud urban trees image feature vector clustering Siamese Network automatic classification of tourist photos deep learning model Arabic tweets COVID-19 pandemic sentiment analysis social data mining spatio-temporal correlation off-line integration of geo-tagged data sets data sets about public places soft integration methodology effective soft integration through a stand-along tool n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This reprint 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. 2023-02-02T16:33:26Z 2023-02-02T16:33:26Z 2023 book ONIX_20230202_9783036563879_66 9783036563879 9783036563862 https://directory.doabooks.org/handle/20.500.12854/96665 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6610 https://mdpi.com/books/pdfview/book/6610 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6386-2 10.3390/books978-3-0365-6386-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036563879 9783036563862 254 Basel open access |
| spellingShingle | geosemantics implicit semantics formal semantics powerful semantics satellite image semantic segmentation encoder–decoder CNN TH-1 cloud and snow detection label quality street crime people on the street streetscape Baidu Street View image spatial lag negative binomial regression deep learning convolutional neural network backbone network target detection remote sensing images segmentation high resolution transformer OLAP fuzzy SOLAP-based framework fuzzy spatiotemporal queries fuzzy spatiotemporal predictive query fuzzy query visualization machine learning classification LiDAR 3D point cloud urban trees image feature vector clustering Siamese Network automatic classification of tourist photos deep learning model Arabic tweets COVID-19 pandemic sentiment analysis social data mining spatio-temporal correlation off-line integration of geo-tagged data sets data sets about public places soft integration methodology effective soft integration through a stand-along tool n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Artificial Intelligence for Multisource Geospatial Information |
| title | Artificial Intelligence for Multisource Geospatial Information |
| title_full | Artificial Intelligence for Multisource Geospatial Information |
| title_fullStr | Artificial Intelligence for Multisource Geospatial Information |
| title_full_unstemmed | Artificial Intelligence for Multisource Geospatial Information |
| title_short | Artificial Intelligence for Multisource Geospatial Information |
| title_sort | artificial intelligence for multisource geospatial information |
| topic | geosemantics implicit semantics formal semantics powerful semantics satellite image semantic segmentation encoder–decoder CNN TH-1 cloud and snow detection label quality street crime people on the street streetscape Baidu Street View image spatial lag negative binomial regression deep learning convolutional neural network backbone network target detection remote sensing images segmentation high resolution transformer OLAP fuzzy SOLAP-based framework fuzzy spatiotemporal queries fuzzy spatiotemporal predictive query fuzzy query visualization machine learning classification LiDAR 3D point cloud urban trees image feature vector clustering Siamese Network automatic classification of tourist photos deep learning model Arabic tweets COVID-19 pandemic sentiment analysis social data mining spatio-temporal correlation off-line integration of geo-tagged data sets data sets about public places soft integration methodology effective soft integration through a stand-along tool n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | geosemantics implicit semantics formal semantics powerful semantics satellite image semantic segmentation encoder–decoder CNN TH-1 cloud and snow detection label quality street crime people on the street streetscape Baidu Street View image spatial lag negative binomial regression deep learning convolutional neural network backbone network target detection remote sensing images segmentation high resolution transformer OLAP fuzzy SOLAP-based framework fuzzy spatiotemporal queries fuzzy spatiotemporal predictive query fuzzy query visualization machine learning classification LiDAR 3D point cloud urban trees image feature vector clustering Siamese Network automatic classification of tourist photos deep learning model Arabic tweets COVID-19 pandemic sentiment analysis social data mining spatio-temporal correlation off-line integration of geo-tagged data sets data sets about public places soft integration methodology effective soft integration through a stand-along tool n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230202_9783036563879_66 |