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rTLsDeep (version 0.0.5)

Post-Hurricane Damage Severity Classification from TLS and AI

Description

Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) .

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Install

install.packages('rTLsDeep')

Monthly Downloads

176

Version

0.0.5

License

GPL-3

Issues

0

Pull Requests

0

Stars

16

Forks

2

Maintainer

Caio Hamamura

Last Published

March 31st, 2023

Functions in rTLsDeep (0.0.5)

tlsrotate3d

Rotate TLS-derived 3D Point Clouds
predict_treedamage

Predict post-hurricane individual tree level damage
rTLsDeep

rTLsDeep: Set of tools for post-hurricane individual tree-level damage classification from terrestrial laser scanning and deep learning.
fit_dl_model

Fitting deep learning models for post-hurricane individual tree level damage classification
confmatrix_treedamage

Confusion matrix
gcmplot

Plot confusion matrix
get_dl_model

Selecting deep learning modeling approaches
get_best_angle

Get best angle for plotting the tree
getTLS2D

Grid snapshot
getMinBBox

Rotating calipers algorithm
get_validation_classes

Tree-level damage classes for validation datasets