An airplane detection method for panchromatic image

Author

Zhenyu An ; Zhenwei Shi

Author_Institution

Image Process. Center, Beihang Univ., Beijing, China

fYear

2013

fDate

6-10 July 2013

Firstpage

189

Lastpage

192

Abstract

Airplane detection is one of the crucial parts in the field of remote sensing image processing. In this paper, we focus on airplane detection in the remote sensing panchromatic images (PIs) with high spatial resolution (usually superior to 2m). An automated airplane detection system is proposed in the paper. The system contains two main modules: in module one, we use the circle frequency filter to quickly locate the candidates of airplanes; in module two, the precise detection process is accomplished by combining reconstruction independence component analysis (RICA) and SVM algorithm. Experimental results from the real data indicate that the system is effective in handling the remote sensing images. Therefore, it is a good choice for airplane detection in PIs.

Keywords

aircraft; image processing; independent component analysis; object detection; remote sensing; support vector machines; PI; RICA; SVM algorithm; automated airplane detection system; circle frequency filter; high spatial resolution; panchromatic image; precise detection process; reconstruction independence component analysis; remote sensing image processing; Airplanes; Arrays; Feature extraction; Image reconstruction; Remote sensing; Spatial resolution; Support vector machines; Airplane detection; circle-frequency filter; reconstruction independence component analysis; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/ChinaSIP.2013.6625325

Filename

6625325