Share Email Print
cover

Proceedings Paper

Research on hyperspectral dynamic scene and image sequence simulation
Author(s): Dandan Sun; Jiaobo Gao; Kefeng Sun; Yu Hu; Yu Li; Junhu Xie; Lei Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a simulation method of hyper-spectral dynamic scene and image sequence for hyper-spectral equipment evaluation and target detection algorithm. Because of high spectral resolution, strong band continuity, anti-interference and other advantages, in recent years, hyper-spectral 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 hyper-spectral 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 hyper-spectral 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, hyper-spectral 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 hyper-spectral images are consistent with the theoretical analysis results.

Paper Details

Date Published: 25 October 2016
PDF: 8 pages
Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 1015617 (25 October 2016); doi: 10.1117/12.2246700
Show Author Affiliations
Dandan Sun, Xi'an Institute of Applied Optics (China)
Jiaobo Gao, Xi'an Institute of Applied Optics (China)
Kefeng Sun, Xi'an Institute of Applied Optics (China)
Yu Hu, Xi'an Institute of Applied Optics (China)
Yu Li, Xi'an Institute of Applied Optics (China)
Junhu Xie, Xi'an Institute of Applied Optics (China)
Lei Zhang, Xi'an Institute of Applied Optics (China)


Published in SPIE Proceedings Vol. 10156:
Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology

© SPIE. Terms of Use
Back to Top