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.
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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