地球信息科学学报 ›› 2011, Vol. 13 ›› Issue (6): 825-832.doi: 10.3724/SP.J.1047.2011.00825

• 遥感技术与应用 • 上一篇    下一篇

基于ASTER图像和地形因子的岩性单元分类——以新疆木垒地区为例

姜莎莎, 李培军   

  1. 北京大学地球与空间科学学院遥感研究所, 北京 100871
  • 收稿日期:2011-07-01 修回日期:2011-12-01 出版日期:2011-12-25 发布日期:2011-12-25
  • 通讯作者: 李培军(1966-),男,博士,教授,研究方向:遥感信息处理与应用.E-mail:pjli@pku.edu.cn E-mail:pjli@pku.edu.cn
  • 作者简介:姜莎莎(1985-),女,北京大学硕士研究生,主要从事高分辨率遥感信息处理方法研究.E-mail:jss122788@sina.com
  • 基金资助:

    本文的研究得到了国家"973"基础研究项目(2009CB219302)的资助.

Lithologic Unit Mapping Using ASTER Data and Topographic Variables: A Case Study of Mulei area of Xinjiang

JIANG Shasha, LI Peijun   

  1. Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing 100871, China
  • Received:2011-07-01 Revised:2011-12-01 Online:2011-12-25 Published:2011-12-25

摘要: 利用遥感图像进行岩性分类,是遥感地质应用的重要方面之一.本文运用ASTER DEM提取地形因子,并与原始的光谱图像相结合用于遥感图像的岩性单元分类.文章分析了不同尺度的地形因子对岩性单元分类的作用,并进一步分析和比较各种地形因子对岩性单元分类的作用.结果表明,在岩性单元分类过程中加入不同的地形因子可不同程度地提高岩性单元分类精度,加入DEM信息,可得到更高的分类精度.将地形信息和光谱信息综合,是一种有效 的岩性单元分类方法,尤其是对植被覆盖区域.

关键词: ASTER, DEM, 地形因子, 岩性单元分类

Abstract: Lithologic unit mapping from remote sensing imagery is one of the important aspects in geologic remote sensing applications. Traditional lithologic unit mapping can be a time-consuming, costly and challenging endeavour when large areas need to be investigated, where terrain is remote and difficult to access and where the geology is highly variable over short distances. Digital classification using Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) imagery for geological purposes often gives poor results, especially for the imagery with spatial and spectral limitations and areas with dense vegetation cover. The use of ancillary information may help to improve lithological discrimination. To improve classification accuracy, spectral data have been combined with ancillary data, such as topographic variables and DEM data. These ancillary data, which was used to add information about the geomorphologic nature of the different geological units, have been used in classification processing to enhance image quality. So, geological classifications were often conducted using various kinds of integrated spectral and topographic variables. In this paper, the topographic variables such as slope and aspect at different scales were extracted from ASTER DEM, and were then combined with original multispectral image including ASTER three VNIR bands and six SWIR bands in image classification for lithologic unit mapping. In order to evaluate the performance of topographic variables in lithologic unit mapping, topographic variables derived at multiple scales were analyzed in terms of images classification accuracy. The experimental results showed that, the inclusion of topographic variables in lithologic unit classification improved the classification accuracy in different degrees. In particular, when DEM data were included in image classification, the overall accuracy could be improved the most. Therefore, the inclusion of topographic variables in image classification is an effective method for lithologic unit mapping, especially in vegetated areas.

Key words: ASTER, DEM, topographic variables, lithologic unit classification