Geo1015-04-PointClouds

This is the repository for geo1015 assignment 4.

Code

include all codes used in the assignment

Proprocessing

Code : cropping_final.ipynb and thining+outlier_final.ipynb

Include all the code used to cropping(buffering ), thinning, and filtering. Written in Jupyter notebook, it can be run directly after downloading the code and required data(given AHN4).

GFTIN

Code: GFTIN_final.ipynb and GFTIN_final_pyVer.ipynb

Also mainly written in Jupyter Notebook, you can optionally output it to a laz file (or csv file) for later interpolation. Additionally, this GFTIN_final.ipynb file explains the idea of ​​setting thresholds. If you don't need the relevant code, you can execute the GFTIN_final_pyVer.py file. Please also remember to download the data 600_thinned_025_filtered.laz. Please note that the GFTIN_final_pyVer.py file contains less content and the hyperparameters are all set. It is a file deleted from GFTIN_final.ipynb.(Highly not recommended use GFTIN_final_pyVer.py.)

main.py

main.py is used to run the steps integrately. You can run any of the step3 (interpolation) to 5 in it with the parameters you set. All the file and parameters of the functions in Main.py have been set defaultly according to the requirements of the assignment.(eg. the default output resolution is 0.5m). This could make the operation very slow, so we strongly recommend to change the resolution parameters to a smaller number.

All the input and output data are stored in these two pathes.

-Input data: ../data/process

-Output data:../data/output

data

include the processed data and result data

Process

1.tile_500_filtered.laz -> used in interpolation/step4
2.600_GP_output_threshold.laz -> used in step4
3.600_thinned_025_filtered.laz -> used in finding ground points

Result (All the results and output is stored in ../data/output)

1.dtm.tiff <- output of interpolation
2.step4.tiff <- output of step4
3.chm.tiff <- output of step5