Research on Fast Extraction Method of Sea Ice Boundary in Arctic Channel Based on MODIS Data

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Yang, Yiman^1 ; Cheng, Liwen^2 ; Tang, Lulu^1 ; Dong, Jian^1

Department of Military Oceanography and Hydrography and Cartography, Dalian Naval Academy, Dalian

116018, China^1

Dalian Naval Academy, Dalian

116018, China^2

关键词: Fast extraction;    Noise effects;    Noise removal;    Remote sensing data;    Sea ice distribution;    Short time series;    Supervised classification;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022049/pdf
DOI  :  10.1088/1755-1315/310/2/022049

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In order to study the distribution of sea ice in the Arctic Channel, sea ice along the Arctic Channel was extracted based on MODIS remote sensing data. Supervised classification method is used to establish a noise removal method for short time series to obtain the sea ice distribution boundary. From this, the navigability of the Arctic waterway is analyzed. The results show that although MODIS data contain more noise effects, more accurate sea ice distribution information can be obtained by effective noise removal methods, which provides support for the judgment of navigation capacity of Arctic waterway.