Study on multispectral imaging detection and recognition

Wang Jun; Ding Na; Jiaobo Gao; Hu Yu; Wu Jun; Junna Li; Yawei Zheng; Gao Fei; Kefeng Sun

doi:10.1117/12.835599

5 August 2009 Study on multispectral imaging detection and recognition

Wang Jun, Ding Na, Jiaobo Gao, Hu Yu, Wu Jun, Junna Li, Yawei Zheng, Gao Fei, Kefeng Sun

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73834T (2009) https://doi.org/10.1117/12.835599
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

Multispectral imaging detecting technology use target radiation character in spectral spatial distribution and relation between spectral and image to detect target and remote sensing measure. Its speciality is multi channel, narrow bandwidth, large amount of information, high accuracy. The ability of detecting target in environment of clutter, camouflage, concealment and beguilement is improved. At present, spectral imaging technology in the range of multispectral and hyperspectral develop greatly. The multispectral imaging equipment of unmanned aerial vehicle can be used in mine detection, information, surveillance and reconnaissance. Spectral imaging spectrometer operating in MWIR and LWIR has already been applied in the field of remote sensing and military in the advanced country. The paper presents the technology of multispectral imaging. It can enhance the reflectance, scatter and radiation character of the artificial targets among nature background. The targets among complex background and camouflage/stealth targets can be effectively identified. The experiment results and the data of spectral imaging is obtained.

Citation Download Citation

Wang Jun, Ding Na, Jiaobo Gao, Hu Yu, Wu Jun, Junna Li, Yawei Zheng, Gao Fei, and Kefeng Sun "Study on multispectral imaging detection and recognition", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73834T (5 August 2009); https://doi.org/10.1117/12.835599

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