Logging Trail Segmentation via a Novel U-Net Convolutional Neural Network and High-Density Laser Scanning Data

Logging Trail Segmentation via a Novel U-Net Convolutional Neural Network and High-Density Laser Scanning Data

Logging trails are one of the main components of modern forestry. However, spotting the accurate locations of old logging trails through common approaches is challenging and time consuming. This study was established to develop an approach, using cutting-edge deep-learning convolutional neural netwo...

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Bibliographic Details
Main Authors: Omid Abdi, Jori Uusitalo, Veli-Pekka Kivinen
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
U-Net
high-density laser scanning
logging trails
digital surface model
canopy height model
commercial thinning
Online Access:https://www.mdpi.com/2072-4292/14/2/349

Internet

https://www.mdpi.com/2072-4292/14/2/349

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