Deep neural network for complex open-water wetland mapping using high-resolution WorldView-3 and airborne LiDAR data

Deep neural network for complex open-water wetland mapping using high-resolution WorldView-3 and airborne LiDAR data

Wetland inventory maps are essential information for the conservation and management of natural wetland areas. The classification framework is crucial for successful mapping of complex wetlands, including the model selection, input variables and training procedures. In this context, deep neural netw...

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Bibliographic Details
Main Authors: Vitor S. Martins, Amy L. Kaleita, Brian K. Gelder, Gustavo W. Nagel, Daniel A. Maciel
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Deep learning
Small wetlands
Machine learning
Optical and LiDAR data
PCA
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243420303081

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