华东师范大学学报(自然科学版) ›› 2006, Vol. 2006 ›› Issue (4): 84-90.

• 地理学 河口海岸学 • 上一篇    下一篇

面向对象的城市绿地信息提取方法研究

熊轶群, 吴健平   

  1. 华东师范大学 地理信息科学教育部重点实验室，上海 200062
  • 收稿日期:2005-04-29 修回日期:2005-07-17 出版日期:2006-07-25 发布日期:2006-07-25
  • 通讯作者: 熊轶群

Research on Detection of Urban Vegetation by Object-Oriented Classification(Chinese)

XIONG Yi-qun, WU Jian-ping   

  1. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China
  • Received:2005-04-29 Revised:2005-07-17 Online:2006-07-25 Published:2006-07-25

摘要： 在比较传统的城市绿地提取方法的基础上，采用了面向对象的图像分类技术，对QuickBird卫星图像进行上海市区绿地信息提取实验,得到了令人满意的结果，总体分类精度达到84.4%，较传统的监督分类方法提高了24.4%，具有明显的优越性和应用前景.

关键词: 面向对象的图像分类, 城市绿地, QuickBird图像, 面向对象的图像分类, 城市绿地, QuickBird图像

Abstract: The method of object-oriented classification for remote sensing images, based on image segmentation which could create objects sets of homogeneous pixels, provides a way to analyze object's features, such as spectral, shape, topology, texture and so on, and to realize the functions of discriminating various species and automatic classification. The traditional way of analyzing and extracting urban vegetation community was taken as a reference, a new classification method has been developed using QuickBird satellite image in Shanghai. With the new method, the total precision is 84.4%, 24.4% higher than conventional supervised classification. The principle of the new approach mentioned may be useful as a new algorithm joined with existing classifiers.

Key words: urban green, QuickBird image, object-oriented image classification, urban green, QuickBird image

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