Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-Scale, Noisy UAV-Derived Map

Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-Scale, Noisy UAV-Derived Map

Lichen is an important food source for caribou in Canada. Lichen mapping using remote sensing (RS) images could be a challenging task, however, as lichens generally appear in unevenly distributed, small patches, and could resemble surficial features. Moreover, collecting lichen labeled data (referen...

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Bibliographic Details
Main Authors: Shahab Jozdani, Dongmei Chen, Wenjun Chen, Sylvain G. Leblanc, Christian Prévost, Julie Lovitt, Liming He, Brian A. Johnson
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
remote sensing
lichen mapping
deep learning
semi-supervised learning
teacher-student learning
WorldView-2
Online Access:https://www.mdpi.com/2072-4292/13/14/2658

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