1. Provides the fundamentals of feature extraction methods and
applications along with fundamentals of machine learning. 2.
Discusses in detail the advantages of using machine learning in
geospatial feature extraction. 3. Explains the methods for
estimating object height from optical satellite remote sensing
images using Python, R, QGIS, and GRASS GIS implementations. 4.
Includes case studies that demonstrate the use of machine learning
models for building footprint extraction and photogrammetric
methods for height assessment. 5. Highlights the potential of
machine learning and geospatial technology for future project
developments.
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