26 October 2013 Adaptive aircraft detection based on level set and circle-frequency filter
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Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89210V (2013) https://doi.org/10.1117/12.2030654
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
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.
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Yadong Zhu, Jie Ma, Shengxiang Qi, Wei Yu, Shoubao Liu, Jinwen Tian, Wenxing Fu, "Adaptive aircraft detection based on level set and circle-frequency filter ", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210V (26 October 2013); doi: 10.1117/12.2030654; https://doi.org/10.1117/12.2030654
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