华中师范大学学报（自然科学版）2013，Vol.47Issue(2)：287-291,5.
Google Earth影像与同源Quick Bird影像在城市土地利用分类上的对比研究
A comparison of Google Earth imagery and the homologous Quick Bird imagery being used in land-use classification
摘要
Abstract
The high-resolution remote sensing imagery such as Quick Bird (QB) and IKONOS are important imagery resources of Google Earth (GE). After processed graphically, such imagery are provided free of charge to the public to browse and use. In this study, both pixel-based and object-based classification methods were used to classify land-use classes respectively according to the GE imagery and the homologous QB imagery of the same area and time. Then, we compared the classification results of these two kinds of imagery in different land use classes and different classification methods. Based on the results gained above, we exponded the feasibility of using GE imagery in land-use classification and provided corresponding recommendations for the adaptability of using GE imagery in different situation of land use class and different classification methods.关键词
Quick Bird影像/Google Earth影像/土地利用分类/面向对象分类/基于像素分类Key words
uick Bird imagery/ Google Earth imagery/ land-use classification/ object-based land use classification/ pixel-based land use classification分类
天文与地球科学引用本文复制引用
胡琼,张建,徐保东,李宗南..Google Earth影像与同源Quick Bird影像在城市土地利用分类上的对比研究[J].华中师范大学学报（自然科学版）,2013,47(2):287-291,5.基金项目
国家自然科学基金青年基金项目(41201364) （41201364）
中央高校基本科研业务费专项基金项目(2011QC040) （2011QC040）
湖北省自然科学基金项目(2010CDB099). （2010CDB099）
