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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. Series: Geotechnologies and the Environment. Num Pages: 320 pages, biography. BIC Classification: RB; RGW; TTBM; UNF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 635. . 2012. Hardback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9789400740747
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.
Über die Autorin bzw. den Autor:
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.
Titel: Automating the Analysis of Spatial Grids
Verlag: Springer
Erscheinungsdatum: 2012
Einband: Hardcover
Zustand: New
Anbieter: HPB-Red, Dallas, TX, USA
hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_421978894
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Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains a distillation of practical techniques from multiple fields Features techniques illustrated on an easy to understand (and included) population density data set Includes software implementation in Java of the techniques described in . Bestandsnummer des Verkäufers 5826932
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. 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. Bestandsnummer des Verkäufers 9789400740747
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 332 pp. Englisch. Bestandsnummer des Verkäufers 9789400740747
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9789400740747
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Hardcover. Zustand: new. Hardcover. 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. The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9789400740747
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Zustand: New. pp. x + 320. Bestandsnummer des Verkäufers 2658576999
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Zustand: New. Print on Demand pp. x + 320 136 Illus. (Col.). Bestandsnummer des Verkäufers 51015608
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Zustand: New. PRINT ON DEMAND pp. x + 320. Bestandsnummer des Verkäufers 1858577005
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Hardcover. Zustand: Brand New. 2012 edition. 330 pages. 9.25x6.00x0.75 inches. In Stock. Bestandsnummer des Verkäufers x-9400740743
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