Classification Methods for Remotely Sensed Data
Book Details
Format
Hardback or Cased Book
ISBN-10
1032573937
ISBN-13
9781032573939
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 4th, 2024
Print length
422 Pages
Weight
1,440 grams
Product Classification:
Agribusiness and primary industriesPrimary industriesEarth sciencesPhysical geography & topographyPhysical geography and topographyHuman geographyGeographical information systems (GIS) & remote sensingGeographical information systems, geodata and remote sensingElectrical engineeringEnvironmental science, engineering & technologyEnvironmental science, engineering and technologyImage processing
Ksh 33,850.00
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The new edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data, and presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.
The new edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data, and presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.
Get Classification Methods for Remotely Sensed Data by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages.
