Article

Adopting deep learning methods for airborne RGB fluvial scene classification

2020-12-01

Abstract excerpt

Rivers are among the world's most threatened ecosystems. Enabled by the rapid development of drone technology, hyperspatial resolution (<10 cm) images of fluvial environments are now a common data source used to better understand these sensitive habitats. However, the task of image classification remains challenging for this type of imagery and the application of traditional classification algorithms such as maxim...

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Literature Corpus work: f8bd4c77-eacd-5108-8443-0e53f72fa5e9
DOI: 10.1016/j.rse.2020.112107

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