基于ASTER数据的冰川提取方法研究

Ways of glacier extraction based on ASTER data

利用遥感数据进行的冰川信息的提取工作是预测冰川变化的主要手段。通过冰川信息的提取,可以得到冰川以及冰碛物分布的冰川的范围,这对于分析冰川的变化以及分引起冰川变化的原因具有重要的作用。本文在冰川的地物光谱特性以及IDL,VC++语言的基础之上,研究利用Aster数据进行冰川以及冰碛物信息的提取的方法,并且提出了一种新的冰川的提取的工作流程。经过检查对比,证明本次提取的工作精度是很高的,达到了实验数据的要求,并对冰舌末端的冰碛物的分类进行了研究,能够取得不错的效果。最后对本文的方法进行了总结及展望。

The glacier extraction using remote sensing data is an important method to predict the glacier change. The glacier extraction will help us to get the boundary and analyze the change of the glacier and debris. Based on the glacier spectral and IDL language and Visual C ＋ ＋ language, the paper studied a new method of glacier extraction and debris using ASTER data and put forward a new workflow of glacier extraction. As a result, it is proved that the accuracy of the glacier extraction meets the need of the research. The paper also makes a further research on the debris classification of glacier tongue, also can get good result. At last, we sum up the method and bring forward some new idea.