2023
1. Introduction
2. Geospatial Big Data for Machine Learning
3.Spatial Feature Extraction
4.Building Height Estimation
5. 3D Feature Mapping
6. Application Use Cases
1. Introduction
p 1 , 1.1 Geospatial technologies
convergence of – AI , high-end computing , Geospatial
large portion of Geospatial – เกี่ยวกับ data generation , information extraction
Core pillars of Geospatial domain – remote sensing , geographic information system , global positioning system, intelligence solutions
-centre around data gathering , information extraction
– decision-making
support -> autonomous vehicle , intelligence transport , cargo drone , smart cities
automation penetrating – satellite base remote sensing – cloud detection of super-resolution method
ML
Spatial feature extraction -prepare valuable datasets, include -> building footprints , trees, road centrelines, water bodies
using- remote sensed satellite , aerial image , feature extraction , spatial data preparation c geographic information system
p 2 , this book- source geospatial big data , feature extraction using automated method
– object height estimation
– 3D feature mapping
1.2 Feature Extraction