Feature extraction and scale analysis based on Quickbird image using object-oriented approach

摘要：

Information extraction from high-resolution remote sensing image automatically has been attracting wide audience globally nowadays.Traditional pixel-based classification for remote sensing image with high spatial resolution is out need of precision.Considering of the characteristic of remote sensing,object-oriented approach gives the resolution.Taking Quickbird image as an example,we extract some typical urban targets from the image using object-oriented image analysis in this study.The most suitable scale of image segmentation is also discussed.We also evaluate the classification precision in associated with different segmentation scale.Result shows that object-oriented approach has a great deal of advantage such as high precision,high efficiency,convenience and so on.When the segmentation scale is defined between 15 and 20,we will get the best classification result.Extracting at the most suitable scale of image segmentation,the precision of classification can reach above 90 percent.

关键词： feature extraction segmentation scale Quickbird image object-oriented image analysis

作者: Yina Qi Fang Huang Xin Qi

作者单位: School of Urban and Environmental Sciences,Northeast Normal University,Renmin Street 5268,Changchun 130024,China

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）