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TU-Net and TDeepLab: deep learning-based terrain classification robust to illumination changes, combining visible and thermal imageryIn this paper we propose two novel deep learning-based terrain classification methods robust to illumination changes.
Document ID
20210009167
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Kurazume, Ryo
Stoica, Adrian
Nakashima, Kazuto
Iwashita, Yumi
Date Acquired
March 28, 2019
Publication Date
March 28, 2019
Publication Information
Publisher: Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019
Distribution Limits
Public
Copyright
Other
Technical Review

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