Automated Seafloor Massive Sulfide Detection Through Integrated Image Segmentation and Geophysical Data Analysis: Revisiting the TAG Hydrothermal Field

Automated Seafloor Massive Sulfide Detection Through Integrated Image Segmentation and Geophysical Data Analysis: Revisiting the TAG Hydrothermal Field

Abstract Accessible seafloor minerals located near mid‐ocean ridges are noticed to mitigate the projected metal demands of the net‐zero energy transition, promoting growing interest in quantifying the global distributions of seafloor massive sulfides (SMS). Mineral potentials are commonly estimated...

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Bibliographic Details
Main Authors: Amir Haroon, Hendrik Paasche, Sebastian Graber, Sven Petersen, Eric Attias, Marion Jegen, Romina Gehrmann, Sebastian Hölz, Meike Klischies
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Geochemistry, Geophysics, Geosystems
Subjects:
convolution neural networks
seafloor massive sulfides
bathymetry
magnetic anomaly
CSEM
Online Access:https://doi.org/10.1029/2023GC011250

Internet

https://doi.org/10.1029/2023GC011250

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