Automating the Analysis of Spatial Grids A Practical Guide to Data Mining Geospatial Images for Human & Environmental Applications /

• Κύριος συγγραφέας: Lakshmanan, Valliappa (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2012.
• Σειρά: Geotechnologies and the Environment ; 6
• Θέματα: Earth sciences.; Geotechnical engineering.; Data mining.; Geographical information systems.; Earth Sciences.; Geotechnical Engineering & Applied Earth Sciences.; Geographical Information Systems/Cartography.; Data Mining and Knowledge Discovery.; Earth Sciences, general.
• Φυσική περιγραφή: X, 320 p. 136 illus. in color. online resource.
• ISBN: 9789400740754

The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. The aim is for readers to be able to devise and implement automated techniques to extract information from spatial grids such as radar, satellite or high-resolution survey imagery.