摘要
城镇建成区信息是遥感影像提取中的一个重点。本文以泉州市2000年的Landsat ETM+影像,利用多种方法,提取城镇聚落的信息,并对比各种方法的优缺点后予以改进。研究表明基于Landsat卫星提取城镇信息方法,改进后方法较之原方法提取精度随之提高;经比较认为仿植被指数提取法简单快速,光谱阈值法精度较高但较复杂。
How to extract exactly urban information is always very important in the application of remote sensing. There are different methods of extracting urban land use information based on Landsat image, such as Normalized Difference Buih-up Index （NDBI）, Spectrum Threshold Extraction, Supervised Classification by computer and interactive visual interpretation; however, each of them has its own advantages and disadvantages in specific application. The main objective of this paper is to compare the efficiencies and accuracies between the multiple methods,and ameliorate these methods to improve their efficiency.
In this study, extract the urban parison, the study information easily complexity. we take Quanzhou city as study area, and utilize Landsat ETM＋ image received in 2000 to land-use information using the above-mentioned multiple methods respectively. By comresult reveals that these ameliorated methods can work better than before, NDBI and quickly, and Spectrum Threshold Extraction can acquire high accuracy at can extract the cost of complexity.
出处
《地球信息科学》
CSCD
2007年第2期129-133,共5页
Geo-information Science
基金
福建省科技攻关重点项目(2004N018)
中国气象局气象新技术推广项目(CMATG2005M35)。
关键词
遥感
仿植被指数
光谱阈值
融合
城镇
remote sensing
NDVI
spectrum threshold
fusion
urban
作者简介
潘卫华（1980-），男，硕士，主要研究方向：遥感制图与遥感应用研究。已发表文章3篇，EI收录1篇。
