Characteristic extraction and matching algorithms of ballistic missile in near-space by hyperspectral image analysis

Li Lu; Wen Sheng; Shihua Liu; Xianzhi Zhang

doi:10.1117/12.2071542

Translator Disclaimer

29 October 2014 Characteristic extraction and matching algorithms of ballistic missile in near-space by hyperspectral image analysis

Li Lu; Wen Sheng; Shihua Liu; Xianzhi Zhang

Author Affiliations +

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92732T (2014) https://doi.org/10.1117/12.2071542
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

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.

Citation Download Citation

Li Lu, Wen Sheng, Shihua Liu, and 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

ACCESS THE FULL ARTICLE