Building Feature Extraction with Machine Learning : Geospatial Applications
Book Details
Format
Hardback or Cased Book
ISBN-10
1032255331
ISBN-13
9781032255330
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 29th, 2022
Print length
128 Pages
Weight
362 grams
Dimensions
16.30 x 24.10 x 1.40 cms
Product Classification:
Earth sciencesGeographical information systems (GIS) & remote sensingGeographical information systems, geodata and remote sensingCommunications engineering / telecommunicationsEnvironmental science, engineering & technologyEnvironmental science, engineering and technologyImaging systems & technologyImaging systems and technologyMachine learningDigital signal processing (DSP)Signal processingTravel & holidayTravel and holiday
Ksh 18,700.00
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This book focuses on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies.
This book focuses on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies.
Get Building Feature Extraction with Machine Learning 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.
