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29 October 2014Characteristic extraction and matching algorithms of ballistic missile in near-space by hyperspectral image analysis
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.
Li Lu,Wen Sheng,Shihua Liu, andXianzhi 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); https://doi.org/10.1117/12.2071542
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Li Lu, Wen Sheng, Shihua Liu, 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); https://doi.org/10.1117/12.2071542