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8 October 2015 Aircraft target onboard detecting technology via Circular Information Matching method for remote sensing satellite
Huachao Xiao, Quan Zhou, Li Li
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Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967507 (2015) https://doi.org/10.1117/12.2196956
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
Image information onboard processing is one o f important technology to rapidly achieve intelligence for remote sensing satellites. As a typical target, aircraft onboard detection has been getting more attention. In this paper, we propose an efficient method of aircraft detection for remote sensing satellite onboard processing. According to the feature of aircraft performance in remote sensing image, the detection algorithm consists of two steps: First Salient Object Detection (SOD) is employed to reduce the amount of calculation on large remote sensing image. SOD uses Gabor filtering and a simple binary test between pixels in a filtered image. White points are connected as regions. Plane candidate regions are screened from white regions by area, length and width of connected region. Next a new algorithm, called Circumferential Information Matching method, is used to detect aircraft on candidate regions. The results of tests show circumference curve around the plane center is stable shape, so the candidate region can be accurately detecting with this feature. In order to rotation invariant, we use circle matched filter to detect target. And discrete fast Fourier transform (DFFT) is used to accelerate and reduce calculation. Experiments show the detection accuracy rate of proposed algorithm is 90% with less than 0.5s processing time. In addition, the calculation of the proposed method through quantitative anglicized is very small. Experimental results and theoretical analysis show that the proposed method is reasonable and highly-efficient.
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Huachao Xiao, Quan Zhou, and Li Li "Aircraft target onboard detecting technology via Circular Information Matching method for remote sensing satellite", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967507 (8 October 2015); https://doi.org/10.1117/12.2196956
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KEYWORDS
Target detection
Remote sensing
Image filtering
Image processing
Satellites
Detection and tracking algorithms
Electronic filtering
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