Performs the matching of simulated point clouds to tree tree models in order to assess scanning occlusion.
Project description
This is a library designed for occlusion analysis of LiDAR simulated data.
Although many functions are very specific to certain types of LiDAR simulation and data conventions, this library can be easily adapted and extended to fit different scenarios.
This is still a work in progress, requiring some polishing to improve user-friendliness (still lacking documentation), but the core modules are sound and tested.
The tls_occlusion library is being developed as part of my PhD research, supervised by Dr. Mat Disney, in the Department of Geography at University College London (UCL). My research is funded through Science Without Borders from the National Council of Technological and Scientific Development (10.13039/501100003593) – Brazil (Process number 233849/2014-9).
Any questions or suggestions, feel free to contact me using one of the following e-mails: matheus.boni.vicari@gmail.com or matheus.vicari.15@ucl.ac.uk
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for tls_occlusion-1.0-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3c8881716d1a4dbb66c9c0b37cb687354e66336bbaa0bd60044203b9ad672fec |
|
| MD5 | 852c03d1a7f3e5cd7e473ed263244856 |
|
| BLAKE2b-256 | a12b910c0a730d3b0035bfb6a3bb0606b35e100f07671799ca42dad548ef9f9d |
Hashes for tls_occlusion-1.0-py2-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c2d2698e2f094e26eb358cde2e6ab5783dc869388f67b1876c3d90e40c6d856b |
|
| MD5 | 6548cc8e4459fd3928c0f670048c56dc |
|
| BLAKE2b-256 | c0c1e9750d6a4d428d5c984821c2c7ee517e79dae490ec62a1f6d85a9614834d |
