29 October 2014 Characteristic extraction and matching algorithms of ballistic missile in near-space by hyperspectral image analysis
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Abstract
The ballistic missile hyperspectral data of imaging spectrometer from the near-space platform are generated by numerical method. The characteristic of the ballistic missile hyperspectral data is extracted and matched based on two different kinds of algorithms, which called transverse counting and quantization coding, respectively. The simulation results show that two algorithms extract the characteristic of ballistic missile adequately and accurately. The algorithm based on the transverse counting has the low complexity and can be implemented easily compared to the algorithm based on the quantization coding does. The transverse counting algorithm also shows the good immunity to the disturbance signals and speed up the matching and recognition of subsequent targets.
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Li Lu, Li Lu, Wen Sheng, Wen Sheng, Shihua Liu, Shihua Liu, Xianzhi Zhang, Xianzhi Zhang, } "Characteristic extraction and matching algorithms of ballistic missile in near-space by hyperspectral image analysis", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92732T (29 October 2014); doi: 10.1117/12.2071542; https://doi.org/10.1117/12.2071542
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