P000158, Introduktion till punktmolnsprocessering för skogsvetenskap, 4.5 Hp
Skriv ut kursplan

Kursplan

Nivå

Forskarnivå

Ämne

Teknologi

Betygsskala

Kraven för kursens olika betygsgrader framgår av betygskriterier, som ska finnas tillgängliga senast vid kursstart.

Kursspråk

Engelska

Behörighetskrav

Mål

On completion of the course, the student will be able to:

• *Use algorithms for filtering and classification of point clouds *
• Use algorithms for derivation of surface models from point clouds
• Use algorithms for segmentation of objects from point clouds
• Use algorithms for classification and interpretation of objects segmented from point clouds

Innehåll

The course includes lectures, exercises, and student projects.

*The course introduces and teaches algorithms for automated point cloud processing. **The processing can be applied to point clouds from airborne and ground-based platforms. *An important part of the course consists of exercises where the students apply the algorithms to real data from forest sciences.

The algorithms include filtering and classification of point clouds based on properties of the points or the local surrounding, calculation of surface normals from point clouds, derivation of surface models from height data of point clouds, derivation of high-resolution raster from various properties of point clouds, conditional Euclidean clustering of point clouds, and segmentation of objects from point clouds using classical methods and AI tools, in particular tree crowns and tree stems. The algorithms are using 3D coordinates, 3D voxels, and 2D pixels.

The course also presents systems and processes to register point clouds, visualization of point clouds, data structures such as Quadtree and k-d-tree, and applications of point cloud processing in forest sciences.

Examinationsformer

Godkända övningar och godkänt projektarbete

Ansvarig institution eller motsvarande

Institutionen för skoglig resurshushållning

Kompletterande uppgifter