基于遥感协同数据对岩性进行监督分类——以阿尔金西段江格勒萨依地区为例

阿尔金西段高压变质带是地质科学研究热门地区,而江格勒萨依地区又是深入探索该地区的重要前沿基地之一,考虑到该区自然地理环境,无法实地进行细致调查,因此遥感地质调查成为重要手段。收集光谱分辨率居中的Landsat-8数据和空间分辨率相对较高的Worldview-2数据,并以Landsat-8数据光谱特征和Worldview-2数据纹理特征为主辅以Worldview-2数据光谱特征进行协同得到协同数据,通过对原始数据和协同数据进行最大似然法监督分类,得到该地区中生代沉积岩及前寒武变质岩分类结果,验证表明协同数据分类总体精度较高,监督分类方法在阿尔金西段地质调查过程中具有推广的可能性。

Supervisory Classification of Lithology Based on Remote Sensing Synergetic Data: A Case Study of Jianglesayi Area in the Western Altun Section

The high-pressure metamorphic belt in the western part of Altun is a hot area of geological science research, and the Jianggresai area is one of the important frontier bases for in-depth exploration of this area. Considering the physical and geographical environment of this area, it is impossible to carry out detailed investigation on the spot, so remote sensing geological survey has become an important means. The Landsat-8 data with medium spectral resolution and WorldView-2 data with relatively high spatial resolution were collected. The synergistic data were obtained by combining the spectral features of Landsat-8 data and the texture features of WorldView-2 data with the spectral features of WorldView-2 data. The Mesozoic sedimentary rocks and rocks in the area were obtained by supervising and classifying the original data and synergistic data with maximum likelihood method. The classification results of metamorphic rocks show that the overall accuracy of the synergistic data classification is high, and the supervised classification method has the possibility to be popularized in the geological survey of the western section of Altun.