Comparison of neural networks and k-nearest neighbors methods in forest stand variable estimation using airborne laser data

Comparison of neural networks and k-nearest neighbors methods in forest stand variable estimation using airborne laser data

In the remote sensing of forests, point cloud data from airborne laser scanning contains high-value information for predicting the volume of growing stock and the size of trees. At the same time, laser scanning data allows a very high number of potential features that can be extracted from the point...

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Bibliographic Details
Main Authors: Andras Balazs, Eero Liski, Sakari Tuominen, Annika Kangas
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
Deep learning
Artificial neural network
Convolutional neural network
Machine learning
Remote sensing
Forest inventory
Online Access:http://www.sciencedirect.com/science/article/pii/S2667393222000011

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http://www.sciencedirect.com/science/article/pii/S2667393222000011

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