@inproceedings{583e0241f14245e4aa5a7292fce7af5d,
title = "Uydu G{\"o}r{\"u}nt{\"u}lerinden U{\c c}ak Tespit Etme",
abstract = "In this work, rapid and high-accurate aircraft detection method in satellite images is developed. To this end, AdaBoost learning algorithm is used and Viola-Jones' near real time and high-accurate face detector utilizing haar-like features is taken as reference. In existing studies, for a sub window to be positive, it must pass through all the strong classifiers as positive. However, in this work the strong classifier output values are summed up and compared to a threshold value as well. Therefore, besides the cascade structure's ability to eliminate negative sub windows rapidly, more elaborate evaluation is made on the class of sub window, giving rise to a high performance classifier.",
keywords = "Adaboost, Aircraft recognition, Classifier, Haar-like features",
author = "Mehmet Oturak and Yuksel, \{Seniha Esen\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",
year = "2015",
month = jun,
day = "19",
doi = "10.1109/SIU.2015.7129927",
language = "T{\"u}rk{\c c}e",
series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "719--722",
booktitle = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",
address = "!!United States",
}