TY - CHAP A1 - Nasim Tohidi A2 - Rustam B. Rustamov ED1 - Rustam B. Rustamov Y1 - 2020-11-11 PY - 2020 T1 - A Review of the Machine Learning in GIS for Megacities Application N2 - Earth observation systems, by use of space science and technology advances, present a large-scale opportunity for applying remote sensing methods with geographical information system (GIS) developments. Integrating these two methods makes it possible to achieve high-accuracy satellite data processing. This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field. Chapters cover topics such as RGB-D sensors for autonomous pothole detection, machine learning in GIS, interferometric synthetic aperture radar (InSAR) modeling, and others. BT - Geographic Information Systems in Geospatial Intelligence SP - Ch. 3 UR - https://doi.org/10.5772/intechopen.94033 DO - 10.5772/intechopen.94033 SN - 978-1-83880-505-0 PB - IntechOpen CY - Rijeka Y2 - 2022-01-23 ER -