摘要
冰湖是反映全球气候变化的重要敏感因子之一,冰湖信息的准确提取可用于不同时期的冰湖状态分析,并进一步为气候变化分析等提供可能。针对冰湖光谱信息复杂的特性,同时考虑到C-V模型具有较好的弱边缘探测性,但计算量大的特点,将引入符号压力函数的C-V模型和"全局—局部"的迭代水体提取算法相结合,对高亚洲地区的冰湖提取进行了研究。选择喜马拉雅山中部藏东、南和阿尔泰3个典型的冰湖发育区,利用Landsat 8OLI影像开展冰湖提取实验,并对冰湖提取结果进行精度评定。实验结果表明:总体冰湖提取精度为89.86%,该方法能够准确快速地提取出冰湖信息。
Glacial lake is one of the most important sensitive factors that reflect the global climate change. The accurate extraction of glacial lake information can be used to analyze the status of glacial lake in differ ent period,and to provide the possibility for the analysis of climate change.Focus on the complex spectra characteristics of glacial lake, and considering that the C-V model has a complete theoretical basis, but the huge amount of calculation, so this paper combines the C-V model with the symbolic pressure function and the ＂global to local＂ Iterative water extraction algorithm to study the a new method of glacial lake extraction in High Asia. This paper chooses the three typical development region of glacial lake, Himalaya mountains, Southeastern Tibet, Altai mountains.Glacial lake were extracted by using Landsat 80LI image, and then this paper do the research of the accuracy assessment of the glacial lake extraction results. The C-V model has better anti noise performance and weak edge segmentation effect, so the experiment obtained good results. The result shows that overall accuracy of glacial lake extraction is 89.86%, and the method can extract the glacial lake＇s information rapidly and accurately.
作者
赵航
陈方
张美美
Zhao Hang1,2, Chen Fang1,2,3, Zhang Meimei1(1.Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences ,Beijing 100094,China ; 2.University of Chinese Academy of Sciences ,Beijing 100049 ,China ; 3.Hainan Key Laboratory of Earth Observation, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences ,Sanya 572029 ,China)
出处
《遥感技术与应用》
CSCD
北大核心
2018年第1期177-184,共8页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(41401511、41601451).
