Repeatable Semantic Reef-Mapping through Photogrammetry and Label-Augmentation

Repeatable Semantic Reef-Mapping through Photogrammetry and Label-Augmentation

In an endeavor to study natural systems at multiple spatial and taxonomic resolutions, there is an urgent need for automated, high-throughput frameworks that can handle plethora of information. The coalescence of remote-sensing, computer-vision, and deep-learning elicits a new era in ecological rese...

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Bibliographic Details
Main Authors: Matan Yuval, Iñigo Alonso, Gal Eyal, Dan Tchernov, Yossi Loya, Ana C. Murillo, Tali Treibitz
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
photogrammetry
orthorectification
change-detection
community ecology
label-augmentation
coral-reefs
Online Access:https://www.mdpi.com/2072-4292/13/4/659

Internet

https://www.mdpi.com/2072-4292/13/4/659

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