Building Feature Extraction with Machine Learning: Geospatial Applications

Author:   Bharath.H. Aithal ,  Prakash P.S.
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032255330


Pages:   128
Publication Date:   29 December 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Building Feature Extraction with Machine Learning: Geospatial Applications


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Author:   Bharath.H. Aithal ,  Prakash P.S.
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.260kg
ISBN:  

9781032255330


ISBN 10:   1032255331
Pages:   128
Publication Date:   29 December 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction. Geospatial Big Data for Machine Learning. Spatial Feature Extraction. Building Height Estimation. 3D Feature Mapping. Applications and Case Studies.

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Author Information

Dr. Bharath H. Aithal, is currently an assistant professor at Ranbir and Chitra Gupta School of Infrastructure Design and Management at Indian Institute of Technology Kharagpur. He obtained his Ph.D. from Indian Institute of Science. His areas of interest are spatial pattern analysis, Urban growth modelling, natural disasters, geoinformatics, landscape modelling, urban planning, open-source GIS, and digital image processing. He has published over 50 research papers in reputed peer reviewed journals and has presented over 100 papers in international and national conferences and symposiums. In 2020 he published with CRC Press, Urban Growth Patterns in India: Spatial Analysis for Sustainable Development and has contributed 6 book chapters to other publications. Dr. Prakash P.S. is a postdoctoral researcher at Irish Centre of High-End Computing, Galway, Ireland, working on geo-spatial technologies. Prakash has substantial experience with earth observation datasets, including remote sensing, drone-based imagery, surveying, spatial libraries, machine learning, and artificial intelligence technologies. He has worked in geospatial technology and the renewable energy industry for over four years. His other qualifications include a Master of Technology in Geoinformatics from Bangalore's Karnataka State Remote Sensing Application Center and a Bachelor of Civil Engineering from Bangalore's Rashtreeya Vidyalaya College of Engineering.

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