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贵州织金片区影像地层研究
引用本文:刘沛,姚智,况顺达,韩宝智.贵州织金片区影像地层研究[J].中国岩溶,2008,27(3):283-292.
作者姓名:刘沛  姚智  况顺达  韩宝智
作者单位:1. 贵州大学资源与环境工程学院,贵州,贵阳,550003
2. 贵阳市城建局档案馆,贵州,贵阳,550001
3. 贵州地质调查院,贵州,贵阳,550001
4. 贵州地矿局区域地质调查研究院,贵州,贵阳,550005
基金项目:国土资源部国土资源大调查项目
摘    要:选定遥感解译程度较好的贵州西部高原山区织金片作为研究对象,以美国Landsat/TM数据为数据源,选择各波段之间相关系数最小的TM7、TM4、TM1波段合成假彩色图像,采用人机交互的目视解译方法进行影像地层划分。研究区碳酸盐岩地层以其独特的溶蚀地貌而显示为斑状、块状影像,地表水系不发育;碎屑岩地层因流水侵蚀地貌而表现为曲线状、网状纹理,从而使不同地层上下层位在空间结构信息上显示出差异。据此,通过界面、特殊纹理、代表性色调和典型水系等对地层影像进行比较、确认。在此基础上,将研究区主要出露的地层划分为14个影像地层单元。经野外验证,影像地层划分结果与传统的地层划分单元或单元组合吻合度较好。

关 键 词:遥感  影像地层划分  地层单元  贵州织金

Study on division of stratigraphic image in Zhijin district, Guizhou
LIU Pei,YAO Zhi,KU ANG Shun-da and HAN Bao-zhi.Study on division of stratigraphic image in Zhijin district, Guizhou[J].Carsologica Sinica,2008,27(3):283-292.
Authors:LIU Pei  YAO Zhi  KU ANG Shun-da and HAN Bao-zhi
Institution:LIU Pei, YAO Zhi, KUANG Shun-da, HAN Bao-zhi (1. College of Resources and Environmental Engineering, Guizhou University, Guiyang, Guizhou 550003,China ; 2. Guizhou Urban Development Archives, Guiyang, Guizhou 550001, China ; 3. Institute of Geological Survey, Guiyang, Guizhou 550001, China; 4. Institute of Geological Survey, Guizhou Bureau of Geology and Mineral , Guiyang, Guizhou 550005, China)
Abstract:Better-interpreted remote sensing images in Zhijin district,western Guizhou Plateau are selected as study object, Landsat/TM data are selected as the main data source to divide stratigraphic units with humancomputer interaction technique based on a false color composite image of less correlative TM7, TM4 and TM1. Karst stratigraphy image is characterized by its special karst features such as patched and massive image with poor developed water drainage systems. However, petroclastic stratigraphy is characterized by curved and networked textures as showed by water erosion landform. Stratigraphic image can be compared and determined by interfaces, specific textures, characteristic colors, and typical water drainage systems. As a result, stratigraphic units show distinct image features in spatial structures. Fourteen image stratigraphic units are divided in the study area. The field test shows that stratigraphic unit division by stratigraphic image division technology has close correlation with the traditional division method.
Keywords:remote sensing  image stratigraphic  image characteristics  Zhijin district in Guizhou province
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