Recognition of Cold-Water Corals in Synthetic Aperture Sonar Imagery
The deep-water coral Lophelia pertusa is a common reef-building scleractinian coral, or stony coral, occurring in mid to deep waters around the world. The reefs they form are regarded as hot spots for biodiversity and carbon cycling, and play a key role in benthic ecosystems in Norwegian waters. The...
| Published in: | 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV) |
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| Main Authors: | , , , |
| Format: | Book Part |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/11250/2603629 https://doi.org/10.1109/AUV.2018.8729718 |
| Summary: | The deep-water coral Lophelia pertusa is a common reef-building scleractinian coral, or stony coral, occurring in mid to deep waters around the world. The reefs they form are regarded as hot spots for biodiversity and carbon cycling, and play a key role in benthic ecosystems in Norwegian waters. The cold-water reefs are however under increasing anthropogenic pressure due to human activities and a changing environment. Development of methods that enable time- and cost-effective monitoring of these reefs is therefore important. We propose using synthetic aperture sonar (SAS) on-board autonomous underwater vehicles (AUVs) as a means to detect the presence of assemblages of corals. Automated segmentation of areas with coral is presented using a convolutional neural network (CNN). acceptedVersion © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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