A study of the landforms and megafaunal characteristics of the Caiwei Guyot area by manned submersible image datadriven technology  

作　　者：Zhongjun Ding Xingyu Wang Chen Liu Guangyang Ma Chanjuan Cao 

机构地区：[1]National Deep Sea Center,Qingdao 266237,China [2]College of Ocean Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China

出　　处：《Acta Oceanologica Sinica》2025年第1期147-164,共18页海洋学报(英文版)

基　　金：The Key Research and Development Program of Shandong Province of China under contract No.2020JMRH0101;the National Key Research and Development Project of China under contract No.2021YFC2802100;the Qingdao Natural Science Foundation under contract No.24-4-4-zrij-127-jch.

摘　　要：Scientific and precise evaluations of the megafaunal and landform characteristics of seamounts are important guides for their protection and study.A series of manned and unmanned submersibles have provided invaluable observational imaging data for the ecological study of seamounts.However,traditional methods of artificial observation of seamount imaging data cannot accurately and efficiently determine the characteristics of megafauna and landforms.This research harnesses data-driven technology to systematically investigate the distributional traits and morphological features of megafaunal organisms,as well as the topographical characteristics,in the Caiwei Guyot region of the western Pacific’s Magellan Seamounts.To construct the landform and megafauna dataset of the Caiwei Guyot region,we used a data preprocessing technology based on image enhancement to provide high-quality imaging data for data-driven technologies.A megafaunal identification and counting algorithm based on YOLOv5(You Only Look Once Version 5)was developed to efficiently assess the abundance,variety,and dominant species of megafauna.Simultaneously,a landform three-dimensional(3D)reconstruction algorithm based on PatchmatchNet was developed to reconstruct the 3D form of the terrain accurately.This study pioneers the application of data-driven technology to deep-sea imaging within the Caiwei Guyot region,offering an innovative approach to accurately and efficiently characterize the region’s unique megafauna and landforms.

关 键 词：manned submersible imaging DATA-DRIVEN Caiwei Guyot LANDFORMS MEGAFAUNA 

分 类 号：P736.2[天文地球—海洋地质]