Description
Photogrammetry A-Z: Image Processing, 3D Modeling, & GIS https://WebToolTip.com Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 22m | Size: 1.29 GB
Modern Photogrammetry: Concepts, Processing, Spatial Accuracy, Camera Calibration, SfM, & Surface Modeling for Success.
What you'll learn
Understand the fundamental principles, history, and evolution of photogrammetry.
Explain how two-dimensional images are converted into accurate three-dimensional models.
Differentiate between aerial, close-range, and satellite photogrammetry applications.
Compare photogrammetry with LiDAR and other 3D data acquisition technologies.
Understand the role of digital cameras, sensors, lenses, and camera calibration in photogrammetry.
Understand image overlap requirements and the fundamentals of flight planning for data acquisition.
Explain the mathematical concepts of parallax, stereoscopy, and the collinearity condition.
Understand interior and exterior orientation parameters used in photogrammetric processing.
Learn the purpose and importance of Ground Control Points (GCPs) and spatial reference systems.
Explore feature detection and image matching techniques used in modern photogrammetry.
Understand the complete Structure from Motion (SfM) workflow for 3D reconstruction.
Explain bundle block adjustment and its role in improving model accuracy.
Learn the principles of polygon mesh generation and surface reconstruction.
Differentiate between Digital Surface Models (DSM), Digital Terrain Models (DTM), and Digital Elevation Models (DEM).
Understand the orthorectification process and the creation of orthophotos.
Understand the complete end-to-end photogrammetric processing pipeline.
Build a strong theoretical foundation for further study or professional work in photogrammetry and geospatial technologies.
Develop the confidence to understand and communicate photogrammetric concepts used in modern 3D mapping and spatial analysis.
Requirements
No prior knowledge of photogrammetry is required.
An interest in 3D mapping, geospatial technologies, surveying, engineering, or remote sensing is recommended.
A willingness to learn the scientific and geometric principles behind image-based 3D reconstruction.