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Jing Wang, Qianqian Li, Zhiqiang Fang, Xianglong Zhou, Zhiwei Tang, Yanling Han and Zhenling Ma
The rapid development of convolutional neural networks has significant implications for automated underwater fishing operations. Among these, object detection algorithms based on underwater robots have become a hot topic in both academic and applied rese...
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Fengxu Guan, Siqi Lu, Haitao Lai and Xue Du
Underwater optical imaging devices are often affected by the complex underwater environment and the characteristics of the water column, which leads to serious degradation and distortion of the images they capture. Deep learning-based underwater image en...
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Aurélien Arnaubec, Maxime Ferrera, Javier Escartín, Marjolaine Matabos, Nuno Gracias and Jan Opderbecke
This paper addresses the lack of ?push-button? software for optical marine imaging, which currently limits the use of photogrammetric approaches by a wider community. It presents and reviews an open source software, Matisse, for creating textured 3D mode...
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Ahmad Falahzadeh, Daniel Mihai Toma, Marco Francescangeli, Damianos Chatzievangelou, Marc Nogueras, Enoc Martínez, Matias Carandell, Michael Tangerlini, Laurenz Thomsen, Giacomo Picardi, Marie Le Bris, Luisa Dominguez, Jacopo Aguzzi and Joaquin del Río
The use of marine cabled video observatories with multiparametric environmental data collection capability is becoming relevant for ecological monitoring strategies. Their ecosystem surveying can be enforced in real time, remotely, and continuously, over...
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Pengfei Tang, Liangliang Li, Yuan Xue, Ming Lv, Zhenhong Jia and Hongbing Ma
In recent years, with the increasingly serious problems of resource shortage and environmental pollution, the exploration and development of underwater clean energy were particularly important. At the same time, abundant underwater resources and species ...
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