Study on hit-aim detection of airfield runway based on weighted structure templates matching

Zhengrong Zuo; Huafeng Chen; Tianxu Zhang

doi:10.1117/12.834006

30 October 2009 Study on hit-aim detection of airfield runway based on weighted structure templates matching

Zhengrong Zuo, Huafeng Chen, Tianxu Zhang

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749532 (2009) https://doi.org/10.1117/12.834006
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The new hit-aim positioning algorithm based on template matching is proposed, which aim at airport hit-aim location problem in the case of that the airport presents in infrared images partially. In the algorithm, the homogeneity transformation based on co-occurrence matrices was brought forward to enlarge the difference between the airfield runway and background firstly. After the transformed image being segmented, morphologic filter was applied to the segmented binary image to improve airfield runway completeness by filling the small hole in the runway region, and to suppress background clutter by clearing up the remnant fragment in the background area. Later, the multiple templates matching method, in which the distribution pattern among the templates was utilized to improve the matching reliability and positioning precision, was performed to match the weighted structure templates with the extracted binary image. The hit-aim was able to be located indirectly with relatively position relation between the hit-aim and templates. The preparation method for weighted structure templates based on the satellite visible image was also given. The experiment shows that the proposed algorithm can achieved high matching rate, and have rather robustness to scale and rotation.

Citation Download Citation

Zhengrong Zuo, Huafeng Chen, and Tianxu Zhang "Study on hit-aim detection of airfield runway based on weighted structure templates matching", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749532 (30 October 2009); https://doi.org/10.1117/12.834006

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