Lithological Discrimination Based on the Inversion of Roughness in Hami Area, Xinjiang

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Zhuoya, Ni^1 ; Hongyuan, Huo^2 ; Fuping, Gan^3 ; Yongjiang, Wang^3 ; Xiaowen, Li^1 ; Zhigang, Liu^1

Beijing Normal University, Beijing 100875, China^1

Graduate University of Chinese Academy of Sciences, Beijing 100049, China^2

China Aero Geophysical Survey and Remote Sensing Center, Beijing 100085, China^3

关键词: Backscattered signal;    Cross polarizations;    Differential image;    Inversion formula;    Polarization images;    RADARSAT-2 images;    Surface roughness parameters;    Texture classification;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012274/pdf
DOI  :  10.1088/1755-1315/17/1/012274

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper is to retrieve surface roughness parameters by inverting the radar backscattered signal from natural surfaces in Hami area, Xinjiang Province, using Radarsat-2 images. Roughness information is useful to distinguish different lithological rocks. In this paper, the main work is the inversion of the combination roughness Zs (combine the effects of RMS height and correlation). The Zs was retrieved from the cross-polarization differential image (VH polarization image subtract HH polarization image), using the inversion formula of the combination roughness Zs. The Zs map was a gray-level image, and it couldn't be better to present lithology categories, therefore the texture classification method was applied for Zs image, and the results also clearly showed the distribution of basic rock, granite and ultrabasic rock. Based on the Zs image, we verified the results of classification that were obtained from the cross-polarization differential image. Combination with fieldwork, the results of classification of basic rock, marble, granite and sedimentary rock were compliant with Geological map. According to Geological map, the results of distribution of granite, basic rock and ultrabasic rock that were obtained from the texture analysis of the Zs image were good.