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Proceedings Paper

Adaptive aircraft detection based on level set and circle-frequency filter
Author(s): Yadong Zhu; Jie Ma; Shengxiang Qi; Wei Yu; Shoubao Liu; Jinwen Tian; Wenxing Fu
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Paper Abstract

A novel adaptive aircraft detection method based on level set processing and circle-frequency filter is proposed in this paper. First, the SBGFRLS (Selective Binary and Gaussian Filtering Regularized Level Set) method is used twice to find airport region of interest (ROI) and candidate aircraft areas by local segmentation and global segmentation, respectively, so that sizes of those possible target areas can be computed. Then, the circle-frequency (CF) filter method is utilized adaptively to detect target aircrafts in the airport ROI via the mean radius estimated by sizes of those candidate areas obtained before. Experimental results on real remote sensing airport images demonstrate the efficiency and accuracy of the proposed method.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210V (26 October 2013); doi: 10.1117/12.2030654
Show Author Affiliations
Yadong Zhu, Huazhong Univ. of Science and Technology (China)
Jie Ma, Huazhong Univ. of Science and Technology (China)
Shengxiang Qi, Huazhong Univ. of Science and Technology (China)
Wei Yu, Huazhong Univ. of Science and Technology (China)
Shoubao Liu, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Wenxing Fu, China Aerospace Science & Industry Corp. (China)


Published in SPIE Proceedings Vol. 8921:
MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jinwen Tian; Jie Ma, Editor(s)

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