基于多源遥感数据协同的河南省矿山环境信息提取研究

Mining Environment Information Extraction Method Based on Multi-Source Remote Sensing Data

为了改善河南省矿山地质环境动态监测技术,提高矿产资源科学管理水平,利用高分辨率遥感卫星影像和InSAR数据,使用最优分割参数法和随机森林分类法提取河南省矿山区地质环境要素信息;利用多时相InSAR叠加分析法辅助矿山地质灾害解译,完善河南省矿产区地质环境遥感解译体系.研究结果表明,利用影像信息层次结构优先分离和随机森林分类提取分离后的环境要素的方法所提取的信息分类精度可达89%;利用二轨道差分干涉图辅助分析矿山地质灾害,能够进一步提高矿山地质环境解译准确度.

In order to improve the dynamic monitoring technology of mine geological environment in Henan Province and improve the scientific management level of mineral resources,high-resolution remote sensing satellite imagery and Insar data were collected. And the Euclidean two-index method and random forest classifier were used to extracts the remaining geological environment information. At the same time,the multi-temporal Insar superposition analysis method was applied to assist the interpretation of mine geological disasters,for establishing a remote sensing interpretation system of geological environment in mineral areas of Henan Province. The research results show as follows:The accuracy of extracting mine geological environment can reach 89%;The two-track differential interferogram was used to analyze geological disasters in mineral area subsidiarity,which can further improve the accuracy of mine geological environment interpretation.