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Proceedings Paper

Characteristic extraction and matching algorithms of ballistic missile in near-space by hyperspectral image analysis
Author(s): Li Lu; Wen Sheng; Shihua Liu; Xianzhi Zhang
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Paper 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.

Paper Details

Date Published: 29 October 2014
PDF: 6 pages
Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92732T (29 October 2014); doi: 10.1117/12.2071542
Show Author Affiliations
Li Lu, Air Force Early Warning Academy (China)
Wen Sheng, Air Force Early Warning Academy (China)
Shihua Liu, Air Force Early Warning Academy (China)
Xianzhi Zhang, Air Force Early Warning Academy (China)

Published in SPIE Proceedings Vol. 9273:
Optoelectronic Imaging and Multimedia Technology III
Qionghai Dai; Tsutomu Shimura, Editor(s)

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