Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Urban areas feature complex and heterogeneous land covers which create challenging issues for tree species classification. The increased availability of high spatial resolution multispectral satellite imagery and LiDAR datasets combined with the recent evolution of deep learning within remote sensin...

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Bibliographic Details
Main Authors: Sean Hartling, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Joshua Carron
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
deep learning
dense convolutional network (DenseNet)
convolutional neural network (CNN)
support vector machine (SVM)
random forest (RF)
tree species classification
data fusion
Online Access:http://www.mdpi.com/1424-8220/19/6/1284

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http://www.mdpi.com/1424-8220/19/6/1284

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