基于TM与ASAR数据的矿区塌陷地信息提取

Subsidence Land Information Extraction in Mining Area Based on Landsat TM and ASAR Data

研究目的:实现多光谱数据与雷达数据的综合应用对矿区塌陷地信息的提取,评价多源遥感数据在塌陷地信息提取中的精度与优势。研究方法:主成分分析融合法、波段运算法、密度分割法等。研究结果:以ENVISAT-ASAR和TM影像数据为数据源进行研究,结果显示该方法不仅对水体本身有较好的提取精度,而且对塌陷区深浅、非积水区、塌陷区不规则边缘、植被覆盖情况等信息有非常好的提取效果,塌陷地提取精度较高。研究结论:TM数据光谱特性和ASAR波段数据微波特性的综合应用对塌陷地积水区提取有较高的精度,能够为塌陷地研究提供技术支持。

The purpose of this paper is to study the information extraction of subsidence land in mining areas by comprehensive application of multi-spectral data and radar data, and evaluate the accuracy as well as advantages of multiple source remote sensing data. Methods of Principal Component Analysis （PCA） fusion, bands arithmetical algorithmization, density slice, etc. were employed. The results indicate that, on basis of ENVISAT-ASAR and TM image data, this method can produce high accuracy information extracted from water, depth of the subsidence area, non-water areas, irregular edge of mine subsidence area, vegetation cover, etc.. The conclusion indicates that the application of integrated spectral characteristics of TM data and microwave characteristics of ASAR data could provide higher accuracy in extracting the information of subsidence land and provide effective technical support for subsiding land study.