📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Metadata enhanced feature learning for efficient interpretation of AUV gathered seafloor visual imagery (2021)

First Author: Yamada T

Attributed to: Autonomous Techniques for anthropogenic Structure Ecological Assessment (AT-SEA) funded by NERC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://geohab.org/wp-content/uploads/2021/04/AbstractBook_Geohab2021_Europe_African_Node.pdf

Type: Conference/Paper/Proceeding/Abstract