rule-based-classifier: C++ version.

Background

LiDAR (Light and Ranging Detection) technology has now become the quintessential technique for collecting geospatial data from the earth's surface. This code implements a method for automatic classification of objects with LiDAR data, with the aim of detecting ground, vegetation and buildings in the cloud of points.

Original project: https://gitlab.citius.usc.es/lidar/rule-based-classifier.

Install

Cloning the project

git clone https://gitlab.citius.usc.es/lidar/rule-based-classifier-cpp.git
cd rule-based-classifier-cpp

Dependencies

• Eigen and Armadillo
  • Ubuntu

    sudo apt install libeigen3-dev libarmadillo-dev

  • ArchLinux

    sudo pacman -S eigen
    git clone https://aur.archlinux.org/armadillo.git lib/armadillo
    (cd armadillo && makepkg -si --noconfirm)

The following commands must be executed in the root folder of the project.

• LASTools:

  wget https://lastools.github.io/download/LAStools.zip && unzip LAStools.zip -d ./lib && rm LAStools.zip

• LASlib:

  (cd lib/LAStools && cmake . && make)

Usage

There are two ways to compile the project:

Make

In the project directory, just execute

make

An executable main is created in the same directory

CMakeLists

In the project directory, just execute

cmake -B build -DCMAKE_BUILD_TYPE=Release ..
make

This creates the executable build/rule-based-classifier-cpp.

/!\ WARNING: If cmake is executed in the project directory, the already existing Makefile will be overwrited.

Execution

${path_to_binary_executable} -i data/ptR_18C.las [-o output_dir]

Authorship

Grupo de Arquitectura de Computadores (GAC)
Centro Singular de Investigación en Tecnologías Inteligentes (CiTIUS)
Universidad de Santiago de Compostela (USC)

Maintainers:

• Miguel Yermo García (miguel.yermo@usc.es)
• Silvia Rodríguez Alcaraz (silvia.alcaraz@usc.es)