The survey of fishery resources and spatial distribution using DIDSON imaging sonar data

doi:10.1007/978-3-642-36124-1_44

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海洋工程环境与测绘研究中心

	The survey of fishery resources and spatial distribution using DIDSON imaging sonar data
	Shen, Wei 1; Yang, Long 2; Zhang, Jin 1; Peng, Guangxiong 3
	2013
会议日期	10 19, 2012 - 10 21, 2012
会议地点	Zhangjiajie, China
卷号	392 AICT
期号	PART 1
DOI	10.1007/978-3-642-36124-1_44
页码	366-375
英文摘要	In recent years, the DIDSON (Dual-frequency IDentification SONar),which can provide almost-video-quality images to identify objects even in turbid water has been used in enumerating fish populations, underwater structures inspection, oil/gas leakage detection and identification, underwater security, evidence searching, ship's hulls and ports safety inspection, and underwater navigation and so on. In this paper, a designed vessel-mounted observing systems collected DIDSON data and GPS data according to designed lines in the Dishui Lake, shanghai city. Every line area was calculated according to the depth and sonar open-angle. Trained observers counted manually each fish image in every DIDSON file. Then based on the area and number of fish observed, the average density and zoning density of the Dishui lake was calculated. At last the whole fish number and distribution was calculated based on the ARCGIS software. The practice proved the method based on DIDSON Data is very feasible, effective and accurate for fishery resources estimating. © 2013 IFIP International Federation for Information Processing.
会议录	IFIP Advances in Information and Communication Technology
会议录出版者	Springer New York LLC
语种	英语
ISSN号	18684238
内容类型	会议论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/7204]
专题	业务部门_海洋工程环境与测绘研究中心
作者单位	1.College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China; 2.First Institute of Oceanography, SOA, Qingdao, 266061, China; 3.School of Geosciences and Info-Physics, Central South University, Changsha, 410083, China
推荐引用方式 GB/T 7714	Shen, Wei,Yang, Long,Zhang, Jin,et al. The survey of fishery resources and spatial distribution using DIDSON imaging sonar data[C]. 见:. Zhangjiajie, China. 10 19, 2012 - 10 21, 2012.