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FMMidwater Seep Detection featured in October 2014 issue of Sea Technology

Article titled "New Tools for Water Column Feature Detection, Extraction and Analysis" just published

 

This month's issue of Sea Technology, published October 14, 2014, features an article on the new Feature Detection tools available in the FMMidwater module. The Feature Detection tools consist of Normalization and Despeckling algorithms in FMMidwater for extracting the potential features, and a cluster point object in Fledermaus for visualizing and verifying the features in 4D. These new options originated as research tools at the University of New Hampshire Center for Coastal and Ocean Mapping (UNH CCOM) and were implemented in FMMidwater using our plug-in structure. The article was co-written by Lindsay McKenna, a member of the NOAA Okeanos Explorer mapping team. The Okeanos Explorer team have been collecting EM 302 water column data on many of their cruises, and spending hours manually processing the  water column data in FMMidwater. They were anxious to try out the new tools, and present their initial results in the article.

 

Sea Technology is a subscription-based publication; readers actively employed/involved in the ocean industry may qualify for a free subscription (eBook and/or hard copy). To access this article and others, you can sign up for a subscription here.

 

Interested in trying the Feature Detection tools with your data?
Click here to request a free 30 day evaluation of the Fledermaus Suite, including the FMMidwater module.


Fledermaus image of processed Okeanos Explorer water column data with
clustered seeps, as featured in
Sea Technology.

A live webinar demonstrating the Feature Detection tools was conducted in July 2014. A recording can be viewed here.

 

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