Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice

Many issues can reduce the reproducibility and replicability of deep learning (DL) research and application in remote sensing, including the complexity and customizability of architectures, variable model training and assessment processes and practice, inability to fully control random components of...

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Bibliographic Details
Main Authors: Aaron E. Maxwell, Michelle S. Bester, Christopher A. Ramezan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/22/5760