资源简介

摘要： 为从地质灾害多光谱遥感影像资源中挖掘有用的信息,形成标准化、定量化的地质灾害遥感判读知识,进行地震次生地质灾害遥感影像特征图谱研究。以“5·12”汶川地震重灾区地震次生地质灾害滑坡、碎屑流和崩塌为例,首先提取灾害体单元的遥感影像,选取其光谱、纹理和色彩方面的20种遥感影像特征参数并统计参数值;然后对特征参数进行归一化处理,并通过主成分分析得到利用第一、第二、第三主成分表达的各类地震次生地质灾害的影像特征图谱。经过测试样本验证,上述几类图谱可表征相应地震次生地质灾害类型的影像特征。揭示了不同类型地震次生地质灾害遥感影像特征之间的关系,并为遥感影像中灾害体的识别提供了定量化和可视化的知识。  关键词： 地震;  次生地质灾害;  遥感;  图谱     Abstract: In order to dig up information from multi\|spectral remote sensing data and standardized and quantitative interpretation knowledge for geological hazards,the characteristic charts of typical earthquake secondary geological disasters on remote sensing images are studied.Landslides,debris flows and collapses induced by ““5·12”” Wenchuan earthquake were selected to build characteristic charts.Firstly,disaster units were extracted from remote sensing images and twenty characteristic parameters of spectral,texture,color for the images were calculated.Then,the parameters were normalized and the first three principal components were obtained by principal component analysis which were used to represent the features and build characteristic charts for various types of earthquake secondary geological disasters on remote sensing images.It verified that the characteristic charts could express the image features for different types of earthquake secondary geological disasters and distinguish them from through being tested with new samples of geological disasters images.The characteristic charts revealed the relationship between remote sensing image features of different seismic secondary geological disasters,and provided quantitative and visual knowledge for geological hazard identification by remote sensing images.

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