Satellite Image Analysis: Clustering and Classification

2019 ed.

by Nilanjan Dey , Rohit Thanki , Surekha Borra

Book Details

Format Paperback / Softback

Book Series SpringerBriefs in Applied Sciences and Technology

ISBN-10 9811364230

ISBN-13 9789811364235

Edition 2019 ed.

Publisher Springer Verlag, Singapore

Imprint Springer Verlag, Singapore

Country of Manufacture SG

Country of Publication GB

Publication Date Feb 21st, 2019

Print length 97 Pages

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Ksh 9,900.00

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Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise.

Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time.

This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.

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