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Remote Sensing Technology and Application
    
Sea Ice Classification of Polarimetric SAR Imagery based on Decision Tree Algorithm of Attributes’ Subtraction
Wang Changying1,2,Tian Dezheng1,Han Yuanfeng1,Sui Yi2,Chu Jialan3
(1.School of Data Science and Software Engineering,Qingdao University,Qingdao 266071,China;
2.Institute of Big Data Technology and Smart City of Qingdao,Qingdao 266071,China;
3.National Marine Environmental Monitoring Center,Dalian 116023,China)
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Abstract  Polarimetric SAR image usually has multiple polarization attributes,and the imaging brightness of different sea ice types in different polarization modes is obviously different.A decision tree (SDDT) analysis method on attributes’ subtractions suited for sea ice classification of polarimetric SAR imagery is proposed in this paper.The subtractions between any two attributes based on a given n attributes are calculated.Then their classification ability and optimal divided threshold are calculated.The most effective attribute is discovered and used to construct classification tree.According to this strategy,it equal to find the optimal subtraction attributefrom n+C 2 n features for classification,which include original n attributes and C2n  subtraction attributes.In addition,we use GainRatio to compare the classification ability between different attributes firstly.When there are several attributes with a same GainRatio,we consider the width of the split point (ΔWidth) and the total width of the attribute (TotalWidth) and define a classification ability index ClassifyAbility=GainRatio* ΔWidth/TotalWidth.By calculating and comparing ClassifyAbility index,an optimal attribute with the largest attribute classification abilitycan be selected.Experiments show that the accuracy of SDDT algorithmhas ten percent higher than that of C4.5 algorithm using a same training samples.
Key words:  SAR image      Attributes subtraction      Decision tree      Sea ice classification     
Received:  01 November 2017     
ZTFLH:  TP 79  
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Wang Changying
Tian Dezheng
Han Yuanfeng
Sui Yi
Chu Jialan

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Wang Changying, Tian Dezheng, Han Yuanfeng, Sui Yi, Chu Jialan. Sea Ice Classification of Polarimetric SAR Imagery based on Decision Tree Algorithm of Attributes’ Subtraction. Remote Sensing Technology and Application, 2018, 33(5): 975-982.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2018.5.0975     OR     http://www.rsta.ac.cn/EN/Y2018/V33/I5/975

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[2] Jin Xu,Duan Chongdi,Ou Xiangrong,Zhang Tingxin. Simulation of X Band Fully Polarized Microwave Radiometer[J]. Remote Sensing Technology and Application, 2012, 27(6): 873 -879 .
[3] Wang Jing,Li Xin. Progresses on Data Fusion Technology of Crop Growth Model and Multi-source Observation Information[J]. Remote Sensing Technology and Application, 2015, 30(2): 209 -219 .
[4] Wang Zhenzhan,Xie Ying,Lu Hao,Dong Shuai,Li Bin. Calibration and Impact Analysis of 23.8 GHz Digital\|correlation Full-polarimetric Microwave Radiometer[J]. Remote Sensing Technology and Application, 2015, 30(4): 744 -756 .
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