rTLsDeep

<p>The rTLSDeep package provides options for:
i) rotating and deriving 2D images from TLS 3D point clouds
ii) calibrating and validating convolutional neural network (CNN) architectures and 
iii) predicting post-hurricane damage severity at the individual tree level</p>

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) <doi:10.3390/rs15041165>.

Caio Hamamura

Post-Hurricane Damage Severity Classification from TLS and AI

Carine Klauberg

Ricardo Dalagnol

Matheus Ferreira

Jason Vogel

Carlos Alberto Silva

rTLsDeep function

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

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

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

Description

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