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

Content Provider	Springer Nature Link
Author	Wang, Changying Chu, Jialan Tan, Meng Shao, Fengjing Sui, Yi Li, Shujing
Copyright Year	2017
Abstract	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=λ $_{nir}$–λ $_{red}$) 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]×[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.
Starting Page	106
Ending Page	114
Page Count	9
File Format	PDF
ISSN	0253505X
Journal	Acta Oceanologica Sinica
Volume Number	36
Issue Number	11
e-ISSN	18691099
Language	English
Publisher	The Chinese Society of Oceanography
Publisher Date	2017-11-09
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	automatic detection green tide adaptive threshold Landsat TM/ETM plus image Oceanography Climatology Ecology Engineering Fluid Dynamics Marine & Freshwater Sciences Environmental Chemistry
Content Type	Text
Resource Type	Article
Subject	Aquatic Science Oceanography

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