Deep Learning for Automatic Colorization of Legacy Grayscale Aerial Photographs

Deep Learning for Automatic Colorization of Legacy Grayscale Aerial Photographs

Legacy grayscale aerial photographs represent one of the main available sources for studying the past state of the environment and its relationship to the present. However, these photographs lack spectral information thereby hindering their use in current remote sensing approaches that rely on spect...

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Bibliographic Details
Main Authors: Quentin Poterek, Pierre-Alexis Herrault, Grzegorz Skupinski, David Sheeren
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Colorization
deep learning
generative adversarial network (GAN)
grayscale imagery
historical aerial photograph
remote sensing
Online Access:https://ieeexplore.ieee.org/document/9103274/

Internet

https://ieeexplore.ieee.org/document/9103274/

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