Monitoring algal blooms using active learning camera sensor networks

doi:10.1504/IJSNET.2015.071633

	Monitoring algal blooms using active learning camera sensor networks
	Wang, Zijian 1; Zhao, Ze 1; Li, Dong 1; Cui, Li 1; Liu, Xinyu 1,2
	2015
发表期刊	INTERNATIONAL JOURNAL OF SENSOR NETWORKS
ISSN	1748-1279
卷号	19 期号:2 页码:91-103
摘要	The frequent occurrence of toxin-producing algal blooms is a serious concern for the ecological status of inland water and for human and animal health. In this paper, camera sensor networks are used to monitor algal blooms in lake for the first time. A distributed machine learning based algal blooms recognition (DMLAR) algorithm is proposed and implemented on embedded sensor nodes. DMLAR accurately recognises algal blooms and estimates their amounts in real-time based on the pictures of water surface. The machine learning model used by DMLAR is constructed by designing an active learning task, which is accomplished by collaborative embedded sensor nodes in a distributed manner. Extensive field experiments with large dataset are performed on the system deployed in lake since May 2010. Experiment results show that DMLAR outperforms two widely used methods both in terms of estimation accuracy and execution time, using nearly the same memory and energy.
关键词	algal blooms monitoring camera sensor networks active learning image segmentation
DOI	10.1504/IJSNET.2015.071633
收录类别	SCI
语种	英语
资助项目	National Basic Research Program of China (973 Program)[2011CB302803] ; National Natural Science Foundation of China (NSFC)[61100179] ; 'Strategic Priority Research Program' of Chinese Academy of Sciences[XDA06010900] ; Key Project of Natural Science Foundation of Jiangsu Province[BK2011007]
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000364813300003
出版者	INDERSCIENCE ENTERPRISES LTD
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9177
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Cui, Li
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Suzhou CAS IC Design Ctr, Suzhou 215021, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zijian,Zhao, Ze,Li, Dong,et al. Monitoring algal blooms using active learning camera sensor networks[J]. INTERNATIONAL JOURNAL OF SENSOR NETWORKS,2015,19(2):91-103.
APA	Wang, Zijian,Zhao, Ze,Li, Dong,Cui, Li,&Liu, Xinyu.(2015).Monitoring algal blooms using active learning camera sensor networks.INTERNATIONAL JOURNAL OF SENSOR NETWORKS,19(2),91-103.
MLA	Wang, Zijian,et al."Monitoring algal blooms using active learning camera sensor networks".INTERNATIONAL JOURNAL OF SENSOR NETWORKS 19.2(2015):91-103.