Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlands

Wetlands serve many important ecosystem services, yet the United States lacks up-to-date, high-resolution wetland inventories. New, automated techniques for developing wetland segmentation maps from high-resolution aerial imagery can improve our understanding of the location and amount of wetlands....

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Santiago López-Tapia, Pablo Ruiz, Mitchell Smith, Jeffrey Matthews, Bradley Zercher, Liliana Sydorenko, Neelanshi Varia, Yuanzhe Jin, Minzi Wang, Jennifer B. Dunn, Aggelos K. Katsaggelos
Format:	Article
Language:	English
Published:	Elsevier 2021-12-01
Subjects:	Machine learning Wetland High-resolution aerial imagery Segmentation Neural networks
Online Access:	http://www.sciencedirect.com/science/article/pii/S0303243421002889