【摘要】 我国是地质灾害频发的国家,灾害造成了大量人员伤亡和经济损失,"5.12"地震更是诱发了滑坡、崩塌、泥石流以及堰塞湖等地质灾害,给人民生命财产造成重大损失。实践表明,运用遥感技术可以进行大范围的地质灾害调查与监测,使应急速度得到显著提高,但目前传感器种类较多,如何在海量的数据中发现规律、进行数据的协同处理,弥补信息提取能力的不足,是亟待解决的问题。在对图像融合方法分析的基础上,结合地质灾害调查的任务和研究区具体情况,以全色SPOT和多光谱TM影像为数据源,进行数据融合算法及图像质量评价研究,取得了良好的效果。融合后图像不仅保留了多光谱信息,而且空间信息量也得到了增强,提高了孕灾因子及承灾体的提取精度,为地质灾害调查与地质灾害风险评价起到了技术支撑作用。更多还原

【Abstract】 Frequent geohazard in China have caused heavy casualties and economic losses."5·12" earthquake induced a large number of geohazard such as landslides,collapse,debris flow and barrier lake etc.causing significant loss of life and property.Practice shows that the use of remote sensing technology can be a wide range of geohazard survey and monitoring,but also a marked improvement in response speed.But currently there are more types of sensors,so how the laws are found in mass data,how to collaborative process data,and how to make up for the deficiency on information extraction capabilities is a serious problem.This paper,based on the analysis of the commonly used image fusion method and combined with the task of investigating the geohazard and specific circumstances of the study area,regards full color multi-spectral SPOT and TM images as the data source and carries out the data fusion algorithm and image quality evaluation,so as to obtain good results,which not only retains the multi-spectral images of spectral information,but also increases space of the amount of information fusion images to make up for the shortage of the amount of information of single data and to improve pregnant disaster factor and hazard-affected body extraction accuracy.So those have played a role in technology support in the geological hazard and risk assessment of geohazard,and their research on the geohazard-prone areas of disaster prevention and mitigation and disaster sensing mechanism is provide with reference.更多还原