Adopting deep learning methods for airborne RGB fluvial scene classification
(2020)
Journal Article
Carbonneau, P. E., Dugdale, S. J., Breckon, T. P., Dietrich, J. T., Fonstad, M. A., Miyamoto, H., & Woodget, A. S. (2020). Adopting deep learning methods for airborne RGB fluvial scene classification. Remote Sensing of Environment, 251, Article 112107. https://doi.org/10.1016/j.rse.2020.112107
Rivers are among the world's most threatened ecosystems. Enabled by the rapid development of drone technology, hyperspatial resolution ([less than]10 cm) images of fluvial environments are now a common data source used to better understand these sens... Read More about Adopting deep learning methods for airborne RGB fluvial scene classification.