Analysis of high-resolution aerial data
Gain initial insight into automated evaluation of high-resolution orthoimages and point clouds.
This module bundles the processing workflow for creating high-quality outputs from aerial imagery.
Gain initial insight into automated evaluation of high-resolution orthoimages and point clouds.
A short introduction in Object Based Image Analysis.
A short introduction in Deep Learning.
An overview of OBIA especially for land-cover mapping purposes using remote-sensing imagery.
A quantitative comparison of OBIA and deep learning approaches for weed mapping in UAV imagery.
An article on the practical impacts and tradeoffs of applying DL and ML to an applied research task.
3D point cloud and mesh processing software.
A concise video overview of an OBIA workflow with QGIS and the OTB processing plugin.
A step-by-step OBIA workflow in QGIS with Orfeo Toolbox.
Manual and automatic classification and segmentation for small photogrammetric datasets using CloudCompare.
The CANUPO suite is a simple and efficient way to automatically classify a point cloud.
qCanupo classification tutorial.
Selected deep learning and machine learning workflow resources in R.
After simple ground-point classification, typical LiDAR processing can be performed.
Create an OBIA classification or classify dense point cloud data, then report and present the results.