An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image

doi:10.1007/s13131-017-1141-9

	An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image
	Wang, Changying 1,2,3; Chu, Jialan 3,4; Tan, Meng 5; Shao, Fengjing 2; Sui, Yi 2; Li, Shujing 2
刊名	ACTA OCEANOLOGICA SINICA
	2017-11
卷号	36 期号:11 页码:106-114
关键词	automatic detection green tide adaptive threshold Landsat TM/ETM plus image
ISSN号	0253-505X
DOI	10.1007/s13131-017-1141-9
英文摘要	Since the atmospheric correction is a necessary preprocessing step of remote sensing image before detecting green tide, the introduced error directly affects the detection precision. Therefore, the detection method of green tide is presented from Landsat TM/ETM plus image which needs not the atmospheric correction. In order to achieve an automatic detection of green tide, a linear relationship (y =0.723x+0.504) between detection threshold y and subtraction x (x=lambda (nir)-lambda (red)) is found from the comparing Landsat TM/ETM plus image with the field surveys. Using this relationship, green tide patches can be detected automatically from Landsat TM/ETM plus image. Considering there is brightness difference between different regions in an image, the image will be divided into a plurality of windows (sub-images) with a same size firstly, and then each window will be detected using an adaptive detection threshold determined according to the discovered linear relationship. It is found that big errors will appear in some windows, such as those covered by clouds seriously. To solve this problem, the moving step k of windows is proposed to be less than the window width n. Using this mechanism, most pixels will be detected [n/k]x[n/k] times except the boundary pixels, then every pixel will be assigned the final class (green tide or sea water) according to majority rule voting strategy. It can be seen from the experiments, the proposed detection method using multi-windows and their adaptive thresholds can detect green tide from Landsat TM/ETM plus image automatically. Meanwhile, it avoids the reliance on the accurate atmospheric correction.
资助项目	Science and Technology Development Plan of Qingdao City of China[13-1-4-121-jch]
WOS研究方向	Oceanography
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000414992900013
内容类型	期刊论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/3061]
专题	自然资源部第一海洋研究所
作者单位	1.Qingdao Univ, Sch Data Sci & Software Engn, Qingdao 266071, Peoples R China; 2.Inst Big Data Technol & Smart City Qingdao, Qingdao 266071, Peoples R China; 3.State Ocean Adm, Key Lab Marine Red Tide Disaster Dimens Monitorin, East China Sea Branch, Shanghai 200080, Peoples R China; 4.State Ocean Adm, Natl Marine Environm Monitoring Ctr, Dalian 116023, Peoples R China; 5.State Ocean Adm, North China Sea Data & Informat Serv Ctr, North China Sea Branch, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Wang, Changying,Chu, Jialan,Tan, Meng,et al. An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image[J]. ACTA OCEANOLOGICA SINICA,2017,36(11):106-114.
APA	Wang, Changying,Chu, Jialan,Tan, Meng,Shao, Fengjing,Sui, Yi,&Li, Shujing.(2017).An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image.ACTA OCEANOLOGICA SINICA,36(11),106-114.
MLA	Wang, Changying,et al."An automatic detection of green tide using multi-windows with their adaptive threshold from Landsat TM/ETM plus image".ACTA OCEANOLOGICA SINICA 36.11(2017):106-114.