Point Cloud Classification – Naheem Adebisi

Course Content

Brief Introduction to SfM and LiDAR

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Introduction to SfM and LiDAR

Problem, Lab goal and objectives

Create DTM and DSM from images

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Introduction to ArcGIS PRO for SfM

Create Ortho Mapping workspace

Perform Block Adjustment

Generate Product

Raster Analysis

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Compute Vegetation Height

Extract Raster Values

Reflectance Analysis

Explore LiDAR Point Cloud (Optional)

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LiDAR Point Cloud Visualization

Point Cloud Classification

Filtering and Rasterization

Digital Elevation Modelling using Structure from Motion (SfM) and LiDAR

Point cloud classification is an important process in lidar data analysis. It involves assigning semantic labels or categories to individual points within a point cloud based on their characteristics and attributes. This video demonstrate point cloud classification.