地表浅层不同介质覆盖区雷达图像信息构成要素分析

DETECT AND RECOGNITION OF THE COMPOSING FACTOR OF RADAR IMAGE INFORMATION IN SHALLOW COVERED GEOLOGICAL BODY AND FAULT IN ARID AREA

以位于新疆维吾尔自治区境内吐鲁番和哈密的1︰25万国际标准分幅为试验区,通过综合分析盖层介质性质和雷达数据参数特征,分析了沙砾、黄土、盐碱地和新降积雪等不同介质覆盖区的雷达图像信息构成模型和影象特征,为微波遥感信息提取和区域地质填图解译提供技术支持和依据.

Microwave remote sensing has great potential application in geological mapping for its ability to partly pass through shallow cover. The tone of radar image depends on the backward reflection index which is affected by many factors. To testify the penetrability of radar signal and simplify question, especially to get rid of the affection of vegetation at the same time, the study area was chosen in desert environment. There are four kinds of overlay covers including sand, loess, alkaline land and snow in the study area. Basing on the analysis of the property of different covering media and radar data parameters, we build information composition model of radar image in four different media covering area, which provide technique support for further microwave remote sensing information extraction and regional geological mapping.