多源多时相遥感数据融合在煤矿塌陷地中应用研究

因地下煤炭开采导致的矿区塌陷是目前矿区的主要问题之一,这些塌陷造成土地资源破坏,在高水位甚至出现积水。为此,需要掌握塌陷地随开采活动的扩展规律、塌陷区面积、破坏程度和积水区范围等数据资料。对于这些资料的采集,常规的技术方法已无法满足需要,而通过遥感数据融合能快速、准确地反映相关信息。因此采用HIS、PCA等几种不同增强信息的遥感融合方法对山东省某矿区的塌陷地进行试验研究,并对实验结果从定性和定量两个方面进行了融合评价。结果表明,HIS变换融合不仅能增大影像信息量和提高空间分辨率,减少模糊性,还能很好地保持光谱特征,提高了影像数据的利用率。

RS Data Fusion of Multi-source and Multi-temporal and Its Application in Coal Mine Subsidence

It is a significant problem of mining area subsidence resulting from underground coal mine mining, which resulted in soil resources destruction, even a lot of waterlogging in the high water level. Thus it is necessary to obtain the data such as propagation law with the action of mining, the areas of subsidence areas, destroying degree and excess water section and so on. However, traditional surveying methods were not sufficient to collect these data while the data could be rapidly and accurately exhibited by RS data fusion. Meanwhile, dynamic propagation can also be analyzed by superposidon of multi-temporal image. So four kinds of RS fusion methods were adopted for case study about subsidence areas of some mining area in Shandong province, then the results were evaluated by some qualitative and quantitative assessment index. HIS transform is proved that not only improving imagery information and spatial resolution, removing ambiguity, but effectively obtaining spectrum characteristics, and finally increasing the utilization rate of imagery data.