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.
