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Performs the wood/leaf separation from 3D point clouds generated using Terrestrial LiDAR Scanners.

Project Description

This is a library aimed at perfoming automated material separation from terrestrial laser scanning (TLS) point cloud data.

The list of functions available is still growing, with different approaches for pre-processing, classifying and filtering still being added.

This is still a work in progress, requiring some polishing to improve user-friendliness, but the core modules are sound and tested.

Over the following weeks, more documentation will be added to help users to perform the automated separation or use the individual modules/functions in different workflows.

The tlseparation 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 History

This version
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1.1.4.4

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1.1.4.3

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1.1.4.2

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1.1.4.1

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1.1.4

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1.1.3

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1.1.2

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1.1.1

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1.1.0

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1.0.0

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tlseparation-1.1.4.4-py2.py3-none-any.whl (36.2 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Nov 23, 2017
tlseparation-1.1.4.4.tar.gz (33.5 kB) Copy SHA256 Checksum SHA256 Source Nov 23, 2017

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