Abstract
Most Ecosystems in Mariana Trench, Still Remain Unexplored or Poorly Known. Recently, Advanced Underwater Vision Systems, Especially Those Deployed by the Remotely Operated Vehicles (Rov) and Autonomous Underwater Vehicles (AUV), Provide Us More Possibilities to Have a Closer Observation on the Deep-Sea Environments, Communities, Lifestyles, Even Behaviors of the Inhabitants. However, Online Visual Understanding is Still a Big Challenge in These Deepest Spots of the Ocean, Due to the Lack of Prior Knowledge, Poor Visibility, and Dynamic Investigation. in This Paper, We Are Trying to Make a Further Step to Develop Ecological Indicators in an Embeddable Smart Module, Capturing Visual Statistical Cues in Biodiversity, Abundance, Biomass for Those Primary Species Observed Along Deep-Sea Exploration Mission, on the Basis of Refinedet with Our Predefined Scenic Segmentation.
Recommended Citation
X. Li et al., "Towards Developing Visual Statistical Cues for Biodiversity, Abundance, Biomass Around Mariana Trench in an Embeddable Smart Module," OCEANS 2019 - Marseille, OCEANS Marseille 2019, article no. 8867362, Institute of Electrical and Electronics Engineers, Jun 2019.
The definitive version is available at https://doi.org/10.1109/OCEANSE.2019.8867362
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Abundance; Biodiversity; Biomass; Detection algorithm; Mariana Trench; Scenic segmentation; Visual Statistical Cues
International Standard Book Number (ISBN)
978-172811450-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jun 2019
Comments
National Natural Science Foundation of China, Grant 2014AA093410