DocumentCode
2162831
Title
Object Oriented Information Extraction from High Resolution Remote Sensing Imagery
Author
Ma, Hongbin ; Zhang, Cun ; Yang, Shengfei ; Xu, Junfang
Author_Institution
Coll. of Resource & Civil Eng., Northeastern Univ., Shenyang, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
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 ShenYang 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.
Keywords
feature extraction; image resolution; object-oriented methods; remote sensing; HuShiTai; eCognition software; high resolution remote sensing imagery; object oriented information extraction; Application software; Birds; Data mining; Educational institutions; Image resolution; Image segmentation; Remote monitoring; Remote sensing; Shape; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5304370
Filename
5304370
Link To Document