Object Oriented Information Extraction from High Resolution Remote Sensing Imagery

被引：0
|
作者：
Ma, Hongbin [1 ]
Zhang, Cun [1 ]
Yang, Shengfei [1 ]
Xu, Junfang [1 ]
机构：
[1] Northeastern Univ, Coll Resource & Civil Engn, Shenyang, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
关键词：
multi-scale segmentation; high-resolution; object-oriented; information extraction; eCognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the wide use of high-resolution remote sensing image, the technology of object-oriented information extraction from high resolution imagery has been developed rapidly. In this paper, mainly used eCognition software and selected image of HuShiTai in Shen Yang as study area, made use of object-oriented technology to extract features information. Finally the information result is compared with traditional schemes. The contrastive result shows that object-oriented technology can overcome the phenomenon of "salt and pepper" which happened in traditional classification, the accuracy of extraction has been greatly improved relative to traditional method and object-oriented technology provides an effective way for the utilization of high-resolution image.
引用
收藏
页码：1128 / 1132
页数：5
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