This paper presents an automatic pre-screening algorithm of SAR images of huge size (more than 20;000x20;000 pixels), which is capable to identifying extended infrastructures in an effective and computationally efficient way. The algorithm is tested on true one-look Cosmo-SkyMed SAR image data for target detection purposes on an airport scenario. Both visual and objective results are presented to show the potentials of the proposed method.
Garzelli, A., Zoppetti, C., Pinelli, G., Greco, M. (2012). Screening of Spotlight CSK images for large area monitoring and detection of infrastructures. In Proc. IEEE TyWRRS 2012 (pp.349-352). IEEE [10.1109/TyWRRS.2012.6381154].
Screening of Spotlight CSK images for large area monitoring and detection of infrastructures
GARZELLI, ANDREA;ZOPPETTI, CLAUDIA;
2012-01-01
Abstract
This paper presents an automatic pre-screening algorithm of SAR images of huge size (more than 20;000x20;000 pixels), which is capable to identifying extended infrastructures in an effective and computationally efficient way. The algorithm is tested on true one-look Cosmo-SkyMed SAR image data for target detection purposes on an airport scenario. Both visual and objective results are presented to show the potentials of the proposed method.
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https://hdl.handle.net/11365/42859
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