DocumentCode :
692457
Title :
Concrete and Asphalt Runway Detection in High Resolution Images Using LBP Cascade Classifier
Author :
Cruz, Juliano E. C. ; Shiguemori, Elcio H. ; Guimaraes, Lamartine N. F.
Author_Institution :
Appl. Comput. Master Program, Inst. Nac. de Pesquisas Espaciais-INPE, Säo Josédos Campos, Brazil
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
465
Lastpage :
469
Abstract :
Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution satellite imagery is analyzed. Promising results are obtained with the methodology presented in this work, considering objects with variations of scale, rotation and images obtained by different sensors.
Keywords :
geophysical image processing; image classification; image resolution; learning (artificial intelligence); object detection; object recognition; LBP cascade classifier; asphalt runway detection; automatic object recognition; concrete runway detection; digital satellite images; high resolution images; Accuracy; Computer vision; Face recognition; Image resolution; Satellites; Training; LBP; boosted cascade; boosting; runway detection; satellite imagery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location :
Ipojuca
Type :
conf
DOI :
10.1109/BRICS-CCI-CBIC.2013.83
Filename :
6855892
Link To Document :
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