K. Mizuno, S. Tabeta, Yoshino Matsumoto, Shingo Sakamoto, Yusuke Sugimoto, Toshihiro Ogawa, Kenichi Sugimoto, L. Jimenez, Kei Terayama, H. Fukami, M. Sakagami, M. Deki, Akihiro Kawakubo
{"title":"用于海洋环境监测的拖曳式光学相机阵列系统(SSS:快速海洋扫描仪)的研制","authors":"K. Mizuno, S. Tabeta, Yoshino Matsumoto, Shingo Sakamoto, Yusuke Sugimoto, Toshihiro Ogawa, Kenichi Sugimoto, L. Jimenez, Kei Terayama, H. Fukami, M. Sakagami, M. Deki, Akihiro Kawakubo","doi":"10.1109/OCEANSKOBE.2018.8558885","DOIUrl":null,"url":null,"abstract":"Various methods have been developed and used for monitoring marine benthic habitats, such as coral reefs and seagrass meadows. Basically, field transects, such as Line Intercept Transect (LIT), Photo Line Intercept Transect (PLIT), and Video Transect (VT), are the most widely used methods as it is easy and simple to conduct as well as less costly [1]. However, these in-situ visual method requires long sampling time due to the small coverage of the methods. In addition, 3D information of the seabed cannot be obtained. On the other hand, marine biologists and ecologists have increasingly relied on imagery from platforms such as autonomous underwater vehicles (AUVs) for marine monitoring [2], [3]. The underwater imagery obtained by AUVs can be used to make high quality 3D model of seabed, classify and count the abundance of various species in an area. However, the cost for development is still high and expert is necessary for the operation of vehicles. In addition, the AUV systems usually use mono or stereo cameras for the observation, therefore, the coverage of the observation is not wide.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Development of a Towed Optical Camera Array System (SSS: Speedy Sea Scanner) for Sea Environmental Monitoring\",\"authors\":\"K. Mizuno, S. Tabeta, Yoshino Matsumoto, Shingo Sakamoto, Yusuke Sugimoto, Toshihiro Ogawa, Kenichi Sugimoto, L. Jimenez, Kei Terayama, H. Fukami, M. Sakagami, M. Deki, Akihiro Kawakubo\",\"doi\":\"10.1109/OCEANSKOBE.2018.8558885\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various methods have been developed and used for monitoring marine benthic habitats, such as coral reefs and seagrass meadows. Basically, field transects, such as Line Intercept Transect (LIT), Photo Line Intercept Transect (PLIT), and Video Transect (VT), are the most widely used methods as it is easy and simple to conduct as well as less costly [1]. However, these in-situ visual method requires long sampling time due to the small coverage of the methods. In addition, 3D information of the seabed cannot be obtained. On the other hand, marine biologists and ecologists have increasingly relied on imagery from platforms such as autonomous underwater vehicles (AUVs) for marine monitoring [2], [3]. The underwater imagery obtained by AUVs can be used to make high quality 3D model of seabed, classify and count the abundance of various species in an area. However, the cost for development is still high and expert is necessary for the operation of vehicles. In addition, the AUV systems usually use mono or stereo cameras for the observation, therefore, the coverage of the observation is not wide.\",\"PeriodicalId\":441405,\"journal\":{\"name\":\"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSKOBE.2018.8558885\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSKOBE.2018.8558885","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
已经开发和使用了各种方法来监测海洋底栖生物栖息地,例如珊瑚礁和海草草甸。基本上,现场样线(Line Intercept)样线(LIT)、照片(Photo Line Intercept)样线(PLIT)、视频样线(Video)样线(VT)等方法是应用最广泛的方法,因为它们容易、简单且成本较低[1]。然而,这些原位可视化方法由于覆盖范围小,需要较长的采样时间。此外,无法获得海底的三维信息。另一方面,海洋生物学家和生态学家越来越依赖自主水下航行器(auv)等平台的图像进行海洋监测[2],[3]。利用水下航行器获得的水下图像,可以制作高质量的海底三维模型,对区域内各种物种的丰度进行分类和统计。然而,开发成本仍然很高,并且需要专家来操作车辆。此外,水下航行器系统通常使用单眼或立体摄像机进行观测,因此观测的覆盖范围不广。
Development of a Towed Optical Camera Array System (SSS: Speedy Sea Scanner) for Sea Environmental Monitoring
Various methods have been developed and used for monitoring marine benthic habitats, such as coral reefs and seagrass meadows. Basically, field transects, such as Line Intercept Transect (LIT), Photo Line Intercept Transect (PLIT), and Video Transect (VT), are the most widely used methods as it is easy and simple to conduct as well as less costly [1]. However, these in-situ visual method requires long sampling time due to the small coverage of the methods. In addition, 3D information of the seabed cannot be obtained. On the other hand, marine biologists and ecologists have increasingly relied on imagery from platforms such as autonomous underwater vehicles (AUVs) for marine monitoring [2], [3]. The underwater imagery obtained by AUVs can be used to make high quality 3D model of seabed, classify and count the abundance of various species in an area. However, the cost for development is still high and expert is necessary for the operation of vehicles. In addition, the AUV systems usually use mono or stereo cameras for the observation, therefore, the coverage of the observation is not wide.