Paper Info
Title
Airplane localization in satellite images by using visual attention
Abstract
Automatic target detection from the satellite images is an important tool for various applications including mapping, city planning and defense industry. In this paper, we propose a new two-stage method to identify the airplane regions in the airport images by using visual attention. In the first stage, the interesting patches in the image is aimed to extract from the high resolution images. For that purpose, Itti-Koch visual attention model which is inspired from human vision system is used. In the second stage, the important regions containing airplane in the images are extracted from the patches obtained in the first stage. In that stage, Itti-Koch model is applied to emphasis airplane regions in image patches by utilizing an airplane query image. The experimental results show that the proposed approach is successful to localize the airplane regions from the high resolution satellite images.
Year
DOI
Venue
2013
10.1109/SIU.2013.6531552
Signal Processing and Communications Applications Conference
Keywords
Field
DocType
aircraft,airports,image resolution,object detection,Itti-Koch visual attention,airplane localization,airplane query image,airport images,automatic target detection,city planning,defense industry,high resolution images,human vision system,mapping,satellite images,Remote sensing,object localization,visual attention
Computer vision,Automatic target detection,Object detection,Satellite,Pattern recognition,Machine vision,Computer science,Airplane,Visual attention,Artificial intelligence,Image resolution,Defense industry
Conference
ISSN
ISBN
Citations 
2165-0608
978-1-4673-5561-2
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Gulsah Tumuklu Ozyer100.34
Fatos T. Yarman-Vural2153.51