Airplane Localization in Satellite Images by using Visual Attention

Ozyer, Gulsah Tumuklu
Yarman Vural, Fatoş Tunay
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.


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Road network extraction from high resolution satellite imagery is the most frequently utilized technique for updating and correcting geographic information system (GIS) databases, registering multi-temporal images for change detection and automatically aligning spatial datasets. This advance method is widely employed due to the improvements in satellite technology such as development of new sensors for high resolution imagery. To avoid the cost of the human interaction, various automatic and semi-automatic ...
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Citation Formats
G. T. Ozyer and F. T. Yarman Vural, “Airplane Localization in Satellite Images by using Visual Attention,” 2013, Accessed: 00, 2020. [Online]. Available: