25 October 2016 Research on hyperspectral dynamic scene and image sequence simulation
Author Affiliations +
Proceedings Volume 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology; 101561Y (2016) https://doi.org/10.1117/12.2247471
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
This paper presents a simulation method of hyperspectral dynamic scene and image sequence for hyperspectral equipment evaluation and target detection algorithm. Because of high spectral resolution, strong band continuity, anti-interference and other advantages, in recent years, hyperspectral imaging technology has been rapidly developed and is widely used in many areas such as optoelectronic target detection, military defense and remote sensing systems. Digital imaging simulation, as a crucial part of hardware in loop simulation, can be applied to testing and evaluation hyperspectral imaging equipment with lower development cost and shorter development period. Meanwhile, visual simulation can produce a lot of original image data under various conditions for hyperspectral image feature extraction and classification algorithm. Based on radiation physic model and material characteristic parameters this paper proposes a generation method of digital scene. By building multiple sensor models under different bands and different bandwidths, hyperspectral scenes in visible, MWIR, LWIR band, with spectral resolution 0.01μm, 0.05μm and 0.1μm have been simulated in this paper. The final dynamic scenes have high real-time and realistic, with frequency up to 100 HZ. By means of saving all the scene gray data in the same viewpoint image sequence is obtained. The analysis results show whether in the infrared band or the visible band, the grayscale variations of simulated hyperspectral images are consistent with the theoretical analysis results.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dandan Sun, Dandan Sun, Fang Liu, Fang Liu, Jiaobo Gao, Jiaobo Gao, Kefeng Sun, Kefeng Sun, Yu Hu, Yu Hu, Yu Li, Yu Li, Junhu Xie, Junhu Xie, Lei Zhang, Lei Zhang, } "Research on hyperspectral dynamic scene and image sequence simulation", Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101561Y (25 October 2016); doi: 10.1117/12.2247471; https://doi.org/10.1117/12.2247471


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