DocumentCode :
556961
Title :
Ship features and classification in hi-resolution SAR images with object backscattering part and surf array
Author :
Wang, Chao ; Zhang, Hong ; Wu, Fan ; Zhang, Bo
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
fYear :
2011
fDate :
26-30 Sept. 2011
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, we have studied the feature analysis of different kinds of in High-resolution SAR satellite images based on SURF theory. This method has been applied on Cosmo-SkyMed images of 3-m resolution. The performances of the algorithm have been validated by AIS data and in-situ data. The whole classification accuracy is above 80%.
Keywords :
backscatter; image classification; radar imaging; synthetic aperture radar; Cosmo-SkyMed image; SURF array; SURF theory; feature analysis; high-resolution SAR satellite image; image classification; object backscattering part; ship features; Arrays; Backscatter; Computer vision; Marine vehicles; Optical filters; Synthetic aperture radar; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4577-1351-4
Type :
conf
Filename :
6087016
Link To Document :
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