国土资源遥感Issue(2)：56-60,5.DOI:10.6046/gtzyyg.2012.02.11
基于SPOT5图像的岩溶地貌单元自动提取方法
Automatic Extraction of Karst Landscape Elements Based on SPOT 5 Image
摘要
Abstract
To study the geographical features and image features of peak - cluster, peak - forest and karst depression, this paper puts forward some remote sensing indices based on background values of remote sensing images, such as vegetation index, soil brightness index,and PCI of principal component transformation of the image and terrain data. Meanwhile, the integrated calculation method of remote sensing indices is proposed, and the automatic extraction model of remote sensing is created. The integrated calculation method of the indices could effectively increase spectral differences between peak - cluster, peak -forest and other surface features. The gray values of peak - cluster and peak - forest are the highest in the image so as to obtain segmenting value for accurate extraction of them based on automatic selection algorithm of threshold. Based on automatic extraction model of remote sensing, this paper puts forward some information of peak - cluster and peak - forest. On such a basis, karst depression information is extracted. Experimental studies show that the method has high accuracy and efficiency of extraction.关键词
峰林峰丛/岩溶洼地/遥感图像本底值/自动提取Key words
peak - cluster and peak - forest/karst depression/background value of remote sensing image/automatic extraction分类
信息技术与安全科学引用本文复制引用
杨树文,谢飞,冯光胜,刘涛..基于SPOT5图像的岩溶地貌单元自动提取方法[J].国土资源遥感,2012,(2):56-60,5.基金项目
中铁第四勘察设计院集团有限公司基金项目(编号:2009D06-1)资助. （编号:2009D06-1）
