Sensor Agnostic Semantic Segmentation of Forest Point Clouds using Deep Learning (Part 1)
Channel: Sean Krisanski
Date: 2021-04-07

This video is part of the paper titled: "Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds using Deep Learning"
https://doi.org/10.3390/rs13081413

Authors: Sean Krisanski, Mohammad Sadegh Taskhiri, Susana Gonzalez Aracil, David Herries, Paul Turner.

With this video, we aim to transparently demonstrate the manually segmented training, validation and test datasets, along with the results of the model when used to segment the unseen test datasets.

Visualisations were creating using CloudCompare (https://www.danielgm.net/cc/​)

Music: Synapse by Shane Ivers - https://www.silvermansound.com