Water environment remote sensing atmospheric correction of Geostationary Ocean Color Imager data over turbid coastal waters in the Bohai Sea using artificial neural networks

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院合肥智能机械研究所

	Water environment remote sensing atmospheric correction of Geostationary Ocean Color Imager data over turbid coastal waters in the Bohai Sea using artificial neural networks
	Tian, Liqiao 1; Zeng, Qun 2; Tian, Xiaojuan 2; Li, Jian 1; Wang, Zheng 3,4; Li, Wenbo 5
刊名	CURRENT SCIENCE
	2016-03-25
卷号	110 期号:6 页码:1079-1085
关键词	Artificial Neural Network Atmospheric Correction Ocean Color Imager Remote Sensing Turbid Coastal Waters
文献子类	Article
英文摘要	The Geostationary Ocean Color Imager (GOCI) can produce good ocean colour products in the open sea. However, an atmospheric correction problem continues to occur for turbid coastal water environment monitoring. In this communication, a regional atmospheric correction method based on an artificial neural network (ANN) model has been proposed. The ANN model was built according to differences in the spatial and radiometric characteristics between the Medium Resolution Imaging Spectrometer (MERIS) and GOCI, with 3000 pixels of the top-of-atmosphere (TOA) reflectance of seven GOCI images from 2011 to 2012 above turbid water used as the inputs and coinciding validated remote-sensing reflectance (Rrs) of MERIS used as the outputs. Subsequently, the water-leaving reflectance of GOCI in turbid coastal water areas of the Bohai Sea was derived. Compared with the products produced by the standard GOCI Data Processing System (GDPS Version 1.3), the Rrs retrieved according to the proposed method showed a significant improvement in spatial pattern. Although the ANN model displayed a degree of difficulty in representing high water-leaving reflectance values, a comparison with three in situ measurements collected on 11 November 2011 in the study area showed encouraging results. The results suggest that the ANN method can be used for atmospheric correction process in turbid waters without requiring numerous in situ measurements.
WOS关键词	CORRECTION ALGORITHM ; LEAVING RADIANCE ; MERIS DATA ; RETRIEVAL ; PRODUCTS ; SEAWIFS ; SENSOR ; GOCI
WOS研究方向	Science & Technology - Other Topics
语种	英语
WOS记录号	WOS:000372510700036
资助机构	National Natural Science Foundation of China(41571344 ; National Natural Science Foundation of China(41571344 ; National Natural Science Foundation of China(41571344 ; National Natural Science Foundation of China(41571344 ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; 41406205) ; 41406205) ; 41406205) ; 41406205) ; National Natural Science Foundation of China(41571344 ; National Natural Science Foundation of China(41571344 ; National Natural Science Foundation of China(41571344 ; National Natural Science Foundation of China(41571344 ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; Key Laboratory of Space Ocean Remote Sensing and Application, State Oceanic Administration of the People's Republic of China(201502003) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research(IWHR-SKL-201514) ; 41406205) ; 41406205) ; 41406205) ; 41406205)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/30900]
专题	合肥物质科学研究院_中科院合肥智能机械研究所
作者单位	1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China 2.Huazhong Normal Univ, Sch Urban & Environm Sci, Wuhan 430079, Peoples R China 3.Nanjing Univ, Nanjing 210023, Jiangsu, Peoples R China 4.State Ocean Adm, State Key Lab Satellite Ocean Environm Dynam, Inst Oceanog 2, Hangzhou 310012, Zhejiang, Peoples R China 5.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Tian, Liqiao,Zeng, Qun,Tian, Xiaojuan,et al. Water environment remote sensing atmospheric correction of Geostationary Ocean Color Imager data over turbid coastal waters in the Bohai Sea using artificial neural networks[J]. CURRENT SCIENCE,2016,110(6):1079-1085.
APA	Tian, Liqiao,Zeng, Qun,Tian, Xiaojuan,Li, Jian,Wang, Zheng,&Li, Wenbo.(2016).Water environment remote sensing atmospheric correction of Geostationary Ocean Color Imager data over turbid coastal waters in the Bohai Sea using artificial neural networks.CURRENT SCIENCE,110(6),1079-1085.
MLA	Tian, Liqiao,et al."Water environment remote sensing atmospheric correction of Geostationary Ocean Color Imager data over turbid coastal waters in the Bohai Sea using artificial neural networks".CURRENT SCIENCE 110.6(2016):1079-1085.