DocumentCode :
1885278
Title :
Extraction of object features from high resolution SAR images based on SURF features
Author :
Tian, Xiaonjuan ; Wang, Chao ; Zhang, Hong
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1802
Lastpage :
1805
Abstract :
Because of the influence of object orientation, sensor parameters and environmental factors, objects in SAR images have high changeability when the images were formed. The complex environment makes it difficult to extract object features we aim at. In this paper we take aircraft for example, propose a method to extract object features in high resolution SAR images. The features involve SURF features, numbers of engines, and the angle between engines and principal axes. Finally using the features combination we prove that the features extracted can effectively describe objects in various conditions.
Keywords :
aircraft; feature extraction; geophysical image processing; remote sensing by radar; synthetic aperture radar; SURF feature; aircraft engine; environmental factor; high resolution SAR images; object feature extraction; object orientation; sensor parameter; speeded up robust feature; Aircraft; Aircraft manufacture; Aircraft propulsion; Airports; Engines; Feature extraction; Image resolution; Feature Extraction; SURF description; geometric features; high resolution SAR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049471
Filename :
6049471
Link To Document :
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