摘要
为提高格陵兰岛冰盖冻融探测精度,在微波辐射计简单冰盖冻融物理模型和SVM(支持向量机)分类方法的基础上,提出了物理模型结合SVM的格陵兰岛冰盖冻融探测新方法,即对微波辐射计简单物理模型得到的冰盖冻融探测结果进行SVM分类,得到格陵兰岛冰盖冻融分布信息。为验证所提方法的可行性与合理性,基于格陵兰岛2013年8月1日的冻融结果和2013年的融化开始时间、持续时间与传统简单物理模型结果进行对比,结果表明:文中所提出的方法得到的格陵兰岛冰盖冻融探测结果更接近于实际的冰盖冻融分布。物理模型结合SVM的冰盖冻融探测方法是有效的、可行的且能有较高的探测精度。
In order to improve snowmelt detection accuracy of Greenland ice sheet,a new snowmelt method is proposed for Greenland ice sheet,which combines physical model with SVM（ Support Vector Machine） based on simple snowmelt physical model and SVM classification method for microwave radiometer,that is,the data gotten by the simple snowmelt physical model of the microwave radiometer is classified by SVM model to obtain the information of the snowmelt distribution in Greenland. In order to verify the feasibility and rationality of the proposed method,the results were compared with the traditional simple physical model in Greenland on August 1,2013 and in 2013. The results show that the proposed method is closer to the actual snowmelt distribution. And the proposed method is feasible,effective with higher precision.
出处
《西安科技大学学报》
CAS
北大核心
2017年第6期912-918,共7页
Journal of Xi’an University of Science and Technology
基金
国家自然科学基金(41606209
41274123)
中国极地科学战略研究基金(20150313)
郑州市科学基金(20150313)
河南工业大学博士基金(150525)
关键词
格陵兰岛
冰盖冻融探测
微波辐射计
物理模型
Greenland
ice-sheet freeze-thaw detection
microwave radiometer
physical model
作者简介
通讯作者：王星东（1982-），男，陕西宝鸡人，博士，讲师，E—mail：zkywxd@163．com
