摘要
以鄂东南赤壁-嘉鱼地区为例,在缺少地表各岩石单元样品的情况下,对Landsat 8可见光近红外和短波红外(VNIRSWIR)波段反射率数据进行处理提取岩性信息。首先对VNIR-SWIR多波段反射率数据进行最佳指数因子(IOIF)运算,得出最佳波段组合band7-band5-band2,从其假彩色合成图像上只能识别少量岩性单元;为了减少高相关性波段之间的信息冗余度,并对波段信息进行集成,后对Landsat 8 VNIR-SWIR波段反射率数据采用主成分变换并进行彩色合成,能够有效增强志留系、侏罗系及第四系地质单元之间的影像差异,从而划分岩性界线。对比已有地质资料,认为提取结果可靠,能为野外地质工作提供基础信息。
Taking Chibi-Jiayu area in southeastern Hubei as an example, lithologic information was extracted from Landsat 8 visible near infrared and short wave infrared(VNIR-SWIR) band reflectance data in the absence of surface rock unit samples. Firstly, the optimal index factor(IOIF) of VNIR-SWIR multi-band reflectance data is calculated, and the optimal band combination band7-band5-band2 is obtained. Only a few lithologic units can be identified from its pseudo-color synthetic image. In order to reduce the information redundancy between high correlation bands and integrate band information, principal component transformation is used for Landsat 8 VNIR-SWIR band reflectance data. The color synthesis can effectively enhance the image differences among Silurian, Jurassic and Quaternary geological units, and thus divide lithologic boundaries. Compared with the existing geological data, it is believed that the extraction results are reliable and can provide basic information for field geological work.
引文
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