Automating the Analysis of Spatial Grids

Valliappa Lakshmanan

ISBN 10: 9401779406 / ISBN 13: 9789401779401

Editore: Springer Netherlands Aug 2016, 2016

Riguardo questo articolo

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch.

Codice articolo 9789401779401

Dati bibliografici

• Titolo: Automating the Analysis of Spatial Grids
• Editore: Springer Netherlands Aug 2016
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 9401779406
• ISBN 13: 9789401779401
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 17 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 17 millimetri di profondità
• Peso: 565 grammi

Descrizione articolo

Riassunto

Our ability to create algorithms for automatically processing gridded spatial data is increasingly important as the volume of remotely sensed imagery expands. This text provides a comprehensive foundation in digitally processing and mining geospatial datasets.

Informazioni sull?autore

Dr. Valliappa Lakshmanan is an expert in machine intelligence R&D for meteorological applications, and in designing and developing large-scale software systems. He is skilled in communicating technical and non-technical material to diverse audiences. He has studied at the Indian Institute of Technology in Madras, the Ohio State University in Columbus and the University of Oklahoma.
Dr. Lakshmanan is currently employed as a Research Scientist at CIMMS, being the technical lead on several software projects and research groups.
He also develops automated real-time pattern recognition algorithms and visualization techniques for weather phenomena.
He has (co-)written many journal articles.