Photogrammetry Course

Lesson 1 • Measurement Accuracy and Error Sources

Defines precision, accuracy, and systematic vs. random errors in photogrammetric measurement. Students learn to identify and mitigate common error sources before fieldwork.

Lesson 2 • Optics and Sensor Fundamentals

Explains lens geometry, focal length, and sensor characteristics affecting image quality. Students gain the vocabulary needed to evaluate cameras for photogrammetric use.

Lesson 3 • History and Scope of Photogrammetry

Traces photogrammetry from early aerial mapping to modern digital pipelines. Contextualizes the discipline's role in surveying, engineering, and geospatial industries.

Lesson 4 • Core Geometric Principles

Covers perspective projection, collinearity, and coplanarity equations. These principles underpin every measurement and reconstruction step in the course.

Lesson 1 • Calibration Algorithms and Software

Walks through Zhang's method and bundle-adjustment-based calibration workflows. Students run calibrations and interpret residual reports to validate parameter quality.

Lesson 2 • Calibration Target Design and Setup

Explains checkerboard, coded target, and 3D calibration object design for reliable corner detection. Proper setup minimizes calibration uncertainty across the image frame.

Lesson 3 • Camera Model and Interior Parameters

Defines the pinhole camera model and its parameters: principal point, focal length, and skew. Understanding these parameters is essential before performing any calibration.

Lesson 4 • Stability and Recalibration Protocols

Addresses when and why calibration parameters drift due to temperature, focus changes, or physical shock. Students establish recalibration schedules for field deployments.

Lesson 1 • Close-Range Acquisition Techniques

Adapts photogrammetric principles to handheld and tripod-mounted capture of structures, objects, and interiors. Convergent geometry and sufficient overlap are critical for complete models.

Lesson 2 • Flight Patterns and Camera Triggering

Compares grid, crosshatch, and oblique flight patterns for different terrain and structure types. Correct triggering intervals prevent gaps and redundant imagery.

Lesson 3 • Ground Control Point Strategy

Explains GCP placement, density, and measurement with GNSS equipment for georeferencing accuracy. Strategic GCP networks reduce systematic doming and tilting artifacts.

Lesson 4 • Environmental and Safety Considerations

Addresses weather, lighting conditions, and regulatory compliance affecting data quality and mission safety. Students develop pre-flight checklists and contingency protocols.

Lesson 1 • Outlier Rejection and Geometric Verification

Applies RANSAC and homography/fundamental matrix estimation to remove false matches. Geometric verification ensures only geometrically consistent correspondences enter reconstruction.

Lesson 2 • Matching Challenges in Difficult Scenes

Addresses low-texture, repetitive-pattern, and dynamic-scene matching failures and mitigation strategies. Students adapt acquisition and processing settings to recover reliable correspondences.

Lesson 3 • Image Feature Detection Algorithms

Introduces SIFT, SURF, ORB, and SuperPoint detectors and their scale and rotation invariance properties. Feature quality directly determines the density and reliability of tie points.

Lesson 4 • Tie Point Generation and Quality Assessment

Converts verified matches into tie points used by bundle adjustment and evaluates their spatial distribution. Well-distributed tie points prevent weak geometry zones in the model.

Lesson 1 • Sparse Point Cloud Optimization

Refines the sparse tie-point cloud and camera parameters jointly through iterative bundle adjustment. Sparse cloud quality gates downstream dense reconstruction accuracy.

Lesson 2 • Bundle Adjustment Theory

Derives the reprojection error cost function and explains Levenberg-Marquardt optimization. Understanding the math enables students to diagnose convergence failures and poor results.

Lesson 3 • GCP Integration and Georeferencing

Incorporates measured GCP coordinates into bundle adjustment to anchor the model in a real-world datum. Students evaluate georeferencing accuracy using independent check points.

Lesson 4 • Accuracy Assessment and Reporting

Computes RMSE, CE90, and LE90 metrics from check points and interprets them against project specifications. Formal accuracy reports communicate results to clients and regulators.

Lesson 1 • Multi-View Stereo Algorithms

Compares patch-based, depth-map fusion, and learning-based MVS methods for dense reconstruction. Algorithm choice affects density, noise level, and processing time.

Lesson 2 • Point Cloud Registration and Merging

Aligns multiple point cloud scans or flight blocks using ICP and feature-based registration. Seamless merging is essential for large-area surveys processed in tiles.

Lesson 3 • Point Cloud Data Formats and Management

Covers LAS, LAZ, PLY, and E57 formats and efficient storage strategies for large datasets. Proper data management ensures interoperability with downstream GIS and CAD tools.

Lesson 4 • Point Cloud Filtering and Cleaning

Removes noise, outliers, and duplicate points using statistical and radius-based filters. Clean point clouds reduce artifacts in downstream mesh and surface models.

Lesson 1 • Contour and Feature Extraction

Derives contour lines, breaklines, and planimetric features from DEMs and orthophotos for mapping deliverables. Feature accuracy must meet cartographic and engineering specifications.

Lesson 2 • True Orthophoto Generation

Corrects for relief displacement and occlusions using DSM-based orthorectification to produce true orthophotos. True orthos are required for accurate planimetric measurements.

Lesson 3 • Texture Mapping and Visualization

Projects original imagery onto mesh geometry to produce photorealistic textured models. Proper blending and seam correction eliminate visible artifacts in the final model.

Lesson 4 • Digital Elevation Model Generation

Produces DTMs and DSMs from classified point clouds using interpolation and gridding methods. Choosing the correct model type and resolution is critical for each application.

Lesson 1 • Volumetric and Change Detection Analysis

Computes stockpile volumes, cut-fill quantities, and temporal change between multi-epoch point clouds. Accurate volume reporting supports construction, mining, and environmental monitoring.

Lesson 2 • Cultural Heritage Documentation

Applies photogrammetry to record and preserve artifacts, buildings, and archaeological sites at high fidelity. Documentation standards and metadata schemas ensure long-term archival value.

Lesson 3 • BIM and GIS Integration

Exports photogrammetric models into BIM and GIS environments for design, planning, and asset management. Format conversion and coordinate alignment are key integration challenges.

Lesson 4 • Infrastructure Inspection Workflows

Adapts close-range and UAV photogrammetry for bridge, tower, and facade condition assessment. Systematic capture plans and defect mapping protocols ensure inspection completeness.