Using Training Samples Retrieved from a Topographic Map and Unsupervised Segmentation for the Classification of Airborne Laser Scanning Data

Using Training Samples Retrieved from a Topographic Map and Unsupervised Segmentation for the Classification of Airborne Laser Scanning Data

The labeling of point clouds is the fundamental task in airborne laser scanning (ALS) point clouds processing. Many supervised methods have been proposed for the point clouds classification work. Training samples play an important role in the supervised classification. Most of the training samples a...

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Bibliographic Details
Main Authors: Zhishuang Yang, Wanshou Jiang, Yaping Lin, Sander Oude Elberink
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
automatic training samples generation
unsupervised segmentation
graph convolutional neural network
als point clouds
Online Access:https://www.mdpi.com/2072-4292/12/5/877

Internet

https://www.mdpi.com/2072-4292/12/5/877

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