pacman

Support the analysis of drone derived imagery and point clouds as a cheap and easy to use alternative/complement to light detection and ranging data. It provides functionality to analyze poor quality digital aerial images as taken by low budget ready to fly drones. This includes supported machine learning based classification functions, comprehensive texture analysis, segmentation algorithms as well as forest relevant analyzes of metrics and measures on the derived products.

Chris Reudenbach

uavRst

Unmanned Aerial Vehicle Remote Sensing Tools

Hanna Meyer

Florian Detsch

Finn M<c3><b6>ller

Thomas Nauss

Lars Opgenoorth

Environmental Informatics Marburg 

pacman function

Format

example raster data set for demonstration usage — pacman

example raster data set for demonstration usage

pacman: example raster data set for demonstration usage

Description

Arguments

Format