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arxiv: 1911.03267 · v1 · pith:HLUMT2MPnew · submitted 2019-11-08 · 📡 eess.IV · cs.CV· cs.LG· eess.SP

Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image

classification 📡 eess.IV cs.CVcs.LGeess.SP
keywords lidaranimalsdetectionhardwareimageimagingmarinemultistatic
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To fully understand interactions between marine hydrokinetic (MHK) equipment and marine animals, a fast and effective monitoring system is required to capture relevant information whenever underwater animals appear. A new automated underwater imaging system composed of LiDAR (Light Detection and Ranging) imaging hardware and a scene understanding software module named Unobtrusive Multistatic Serial LiDAR Imager (UMSLI) to supervise the presence of animals near turbines. UMSLI integrates the front end LiDAR hardware and a series of software modules to achieve image preprocessing, detection, tracking, segmentation and classification in a hierarchical manner.

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