摘要
三峡库区属于南方高植被覆盖区域,岩石上部覆盖着较厚的土壤和茂密的植被,因此岩性分析比较困难,尚无成熟的方法可循。针对三峡库区这一地形复杂、地质灾害频繁、土壤植被发育的地区进行遥感岩性分析;采用面向对象(像素集团)的思想,构造光谱、纹理、植被覆盖三类指标集。通过将遥感影像与地质图叠加,采用决策树C5.0算法,挖掘出三峡库区嘉陵江组二段T1j2,嘉陵江组三段T1j3,巴东组一段T2b1,巴东组二段T2b2等地层的岩性分类规则,从而为三峡库区岩性的智能分类和解译提供重要的信息和先验知识。
Three Gorges is the south area in which there covers thick soil and flourish vegetation on the top of the rocks,and the lithology analysis is very diffficult.There are also no mature methods on this aspect.lithology analysis is maken at the area of Three Gorges.Based on the area of object-oriented the three sorts of indexes in spectrum,texture and vegetation covering are established.By pilling the remote sensing image with the geological graph,this paper mines the classification rules in the stratums of Tj^2 ,T1j^3 ,T2b^1 and T2b^2 in Three Gorges with C5.0 algorithm and provids the important information and knowledge for intelligent elassification and intepretion of lithology in Three Gorges.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第35期13-16,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.40672205
国家高技术研究发展计划(863)No.2007AA12Z100
中国地质大学优秀青年教师科学基金 (No.CUGQNL0813)~~
关键词
遥感影像
岩性分析
规则
三峡
remote sensing image
lithology analysis
rule
Three Gorges
