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