Evaluating Image Normalization via GANs for Environmental Mapping: A Case Study of Lichen Mapping Using High-Resolution Satellite Imagery

Evaluating Image Normalization via GANs for Environmental Mapping: A Case Study of Lichen Mapping Using High-Resolution Satellite Imagery

Illumination variations in non-atmospherically corrected high-resolution satellite (HRS) images acquired at different dates/times/locations pose a major challenge for large-area environmental mapping and monitoring. This problem is exacerbated in cases where a classification model is trained only on...

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Bibliographic Details
Main Authors: Shahab Jozdani, Dongmei Chen, Wenjun Chen, Sylvain G. Leblanc, Julie Lovitt, Liming He, Robert H. Fraser, Brian Alan Johnson
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
remote sensing
GANs
image normalization
deep learning
lichen mapping
environmental mapping
Online Access:https://www.mdpi.com/2072-4292/13/24/5035

Internet

https://www.mdpi.com/2072-4292/13/24/5035

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