DocumentCode :
3641650
Title :
Detection of stationary aircrafts from satelitte images
Author :
Cihat Yildiz;Ediz Polat
Author_Institution :
Elektrik ve Elektronik Mü
fYear :
2011
fDate :
4/1/2011 12:00:00 AM
Firstpage :
518
Lastpage :
521
Abstract :
It is one of the common problems to identify objects in satellite images of earth using computer vision and image processing techniques. It is especially important to determine the coordinates of civil and military aircrafts in an airport or anyplace is crucial for military intelligence. In this paper we achieved to identify the aircrafts from airport images taken from a specific altitude using computer vision techniques. For this purpose the images have been searched that previously identified by SVM classifier derived from Google Earth® the aircraft images. Gabor filter is used to refine the features of aircraft and extract the feature vector. SVM has been applied on data that feature extraction made before and determination of aircraft image has been confirmed.
Keywords :
"Support vector machines","Aircraft","Encyclopedias","Kernel","Conferences","Satellites","Internet"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
ISSN :
2165-0608
Print_ISBN :
978-1-4577-0462-8
Type :
conf
DOI :
10.1109/SIU.2011.5929701
Filename :
5929701
Link To Document :
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