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Repository for detecting changes and classifying them in a point cloud dataset

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JorgesNofulla/Point-Cloud-Urban-Change-detection

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Point-Cloud-Urban-Change-detection

Repository for detecting changes and classifying them in a point cloud dataset WORK IN PROGESS.... ALL CODES ARE PRONE TO CHANGING ... STAY TUNED FOR MORE :D

  1. Change_Detection_Scripts: Folder with the full scripts of the change detection methods.
  2. Data_Pre-Processing_Script: Folder with the full scripts for the pre-processing of the data.
  3. Dataset: A sample of pre-processed data from Urb3DCD dataset.
  4. Thesis_Document: The full documentation and description of the study.
  5. Media: Images used in this repository.
  6. Requirements: The version of the libraries used in the code

Available Datasets

Urb3DCD from Iris de Gélis et al.: Change Detection in Urban Point Clouds: An Experimental Comparison with Simulated 3D Datasets

Current Dutch Elevation, available in the form of point clouid tiles via Geotiles

Steps to follow

DISCLAIMER

This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty.

Acknowledgements

This repository was created by Jorges Nofulla.

I would like to express my sincere appreciation to my two thesis supervisors, Sander Oude Elberink and Michael Yang, for their invaluable guidance and support throughout the development of this project.

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Repository for detecting changes and classifying them in a point cloud dataset

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