首页 | 本学科首页   官方微博 | 高级检索  
     检索      

遥感影像面向对象信息提取技术在GIS土地管理中的应用
引用本文:颜士威,曹云刚,雒根雄,王亚飞.遥感影像面向对象信息提取技术在GIS土地管理中的应用[J].测绘科学,2013,38(1):93-95.
作者姓名:颜士威  曹云刚  雒根雄  王亚飞
作者单位:西南交通大学地球科学与环境工程学院,成都,611756
摘    要:本文主要研究通过高分辨率遥感影像和eCognition软件,利用面向对象信息提取技术来获取村庄尺度土地利用类型空间数据的技术方法。本项研究中的实验区主要地物包括麦田、旱作物、荒地、苗圃、道路、水体、建设用地和树木等类型。通过设置不同的分割参数并目视判定待识别地类的轮廓分割效果,获取适用于村庄尺度土地利用类型分类的最优分割参数,并通过分类精度对比说明面向对象信息提取相对于传统分类方法的巨大优势。

关 键 词:影像信息提取  面向对象  遥感影像  eCognition  土地管理

Object-oriented information extraction technology of remote sensing image in GIS land management
YAN Shi-wei,CAO Yun-gang,LUO Gen-xiong,WANG Ya-fei.Object-oriented information extraction technology of remote sensing image in GIS land management[J].Science of Surveying and Mapping,2013,38(1):93-95.
Authors:YAN Shi-wei  CAO Yun-gang  LUO Gen-xiong  WANG Ya-fei
Institution:(School of Earth Sciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China)
Abstract:This paper mainly studied the approaches of obtaining village-scaled spatial data of land use type through high-resolution remote sensing image and eCognition software,using object-oriented information extraction technology.The main features of the study area included wheat,upland crops,wasteland,nurseries,roads,water,construction land and trees etc.By setting different division parameters and visual judgments to identify the contour segmentation effect of the classes,the optimal bipartition parameters for village-scaled land use classification were obtained,and the significant advantage of object-oriented information extraction comparing with the traditional classification method was proved through the classification accuracy results.
Keywords:image information extraction  objected-oriented technology  remote sensing image  eCognition  land management
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号