An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions

• Published in: Sensors
• Main Authors: Zuazo, Ander, Grinyó, Jordi, López-Vázquez, Vanesa, Rodríguez, Erik, Costa, Corrado, Ortenzi, Luciano, Flögel, Sascha, Valencia, Javier, Marini, Simone, Zhang, Guosong, Wehde, Henning, Aguzzi, Jacopo
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI 2020
• Subjects: Lofoten; Vesterålen; Paragorgia arborea
• Online Access: https://oceanrep.geomar.de/id/eprint/51023/; https://oceanrep.geomar.de/id/eprint/51023/1/sensors-20-06281.pdf; https://doi.org/10.3390/s20216281

Imaging technologies are being deployed on cabled observatory networks worldwide. They allow for the monitoring of the biological activity of deep-sea organisms on temporal scales that were never attained before. In this paper, we customized Convolutional Neural Network image processing to track beh...