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 :
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