植被覆盖茂密区碳酸盐岩岩性的遥感识别——以灌江流域为例  

Carbonate Rock Lithological Discrimination by Remote Sensing Data for Areas with Flourishing Vegetation——A Case from Guanjiang Drainage Area

作　　者：莫源富[1,2] 奚小双[1] 

机构地区：[1]中南大学地学与环境工程学院,长沙410083 [2]中国地质科学院岩溶地质研究所,广西桂林541004

出　　处：《桂林工学院学报》2010年第1期41-46,共6页Journal of Guilin University of Technology

基　　金：中国地质调查局地质大调查项目(200310400043);中国地质科学院岩溶地质研究所所控基金项目(200706)

摘　　要：由于茂密的植被覆盖,西南岩溶区在遥感图像上反映的大部分是植被覆盖层的光谱信息,而直接的岩性光谱信息很弱,因而利用遥感图像识别岩性,尤其是碳酸盐岩岩性的难度很大。以广西灌江流域为例,在植被茂密的南方岩溶区利用多源遥感数据,如ETM、SPOT、ASTER数据进行碳酸盐岩的计算机自动岩性识别。结果表明:多源遥感数据的岩性识别效果远大于单一类型的遥感数据;未进行融合的遥感数据的分类效果好于融合后的数据;利用高分辨率遥感数据的纹理图像参与分类,有助于提高分类的精度。最终,采用SPOT的4个多光谱波段、ASTER的14个波段、TM的6个波段3种遥感数据共24个波段加上4个SPOT纹理图像和3个ASTER可见光波段的纹理图像共31个波段组合进行岩性的自动识别分类,取得了82.01%的自动识别总精度。The difficulty in geological mapping by remote sensing is lithological discrimination,especially the carbonate area covered by deep flourishing vegetation in southwest China karst area.Multi-source remote sensing data,such as TM,SPOT and ASTER,for lithological discrimination is evaluated.The results indicate that the accuracy of lithological discrimination using single RS data is not so high as 69.36% for ASTER,64.37% for TM and 54.41% for SPOT.When more sorts of RS data used for classification,higher accuracy is obtained.Except for spectral information,the inclusion of variogram texture images may improve the classification accuracy.In the case of 4 SPOT spectral bands and 4 texture images,6 TM spectral bands,14 ASTER spectral bands and 3 texture images extract from 3 VNIR spectral bands for classification,with final overall classification accuracy of 82.01%.

关 键 词：碳酸盐岩 岩性识别 遥感 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] P588.245[自动化与计算机技术—控制科学与工程]