POSIT: An automated tool for detecting and characterizing diverse morphological features in raster data - Application to pockmarks, mounds, and craters

Author:

Alonso del Rosario José J.ORCID,Canari AriadnaORCID,Blázquez Gómez ElízabethORCID,Martínez-Loriente SaraORCID

Funder

State Agency of Research

Publisher

Elsevier BV

Reference41 articles.

1. On the prediction of upwelling events at the Colombian caribbean coasts from modis-SST imagery;Alonso;Sensors,2019

2. High-resolution Geophysical Data Collected in the Belfast Bay, Maine Pockmark Field in 2006, 2008, and 2009 by the U.S. Geological Survey;Andrews,2020

3. Automated feature extraction and spatial organization of seafloor pockmarks, Belfast Bay, Maine, USA;Andrews;Geomorphology,2010

4. High-resolution Computer Graphics Using FORTRAN 77;Angell,1987

5. Mesophotic depth biogenic accumulations (“biogenic mounds”) offshore the Maltese Islands, Central Mediterranean Sea;Bialik;Front. Mar. Sci.,2022

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