Zi Chongde, Li Yunqian, Zu Yongxiang, Chen Linsen, Cao Xun. Research on image alignment in multi-sensor spectral video imaging system[J]. Infrared and Laser Engineering, 2019, 48(6): 603019-0603019(8). doi: 10.3788/IRLA201948.0603019
| Citation:
|
Zi Chongde, Li Yunqian, Zu Yongxiang, Chen Linsen, Cao Xun. Research on image alignment in multi-sensor spectral video imaging system[J]. Infrared and Laser Engineering, 2019, 48(6): 603019-0603019(8). doi: 10.3788/IRLA201948.0603019
|
Research on image alignment in multi-sensor spectral video imaging system
- Received Date: 2019-01-11
- Rev Recd Date:
2019-02-21
- Publish Date:
2019-06-25
-
Abstract
Multi-spectral video imaging can simultaneously collect spatial, temporal and spectral information of scenes. It can be widely used in many fields such as remote sensing, agricultural monitoring, material analysis, etc. However, traditional spectrometers often depend on optical dispersion spectroscopy structure, which makes the system complex and difficult to calibrate, and it is difficult to popularize. Therefore, a miniaturized multi-sensor spectral video imaging system was built in this paper. A fast alignment method of multi-view image or video based on camera poses was proposed to realize real-time acquisition and alignment of multi-spectral video on embedded system. Through the experimental verification of complex scenes, the alignment method proposed in this paper has achieved desired results in both objective index (e.g. PSNR, SSIM) and subjective visual effects.
-
References
|
[1]
|
Zheng Yuquan, Wang Hui, Wang Yifang. Selection and design of optical systems for spaceborne hyperspectral imagers[J]. Optics and Precision Engineering, 2009, 17(11):2629-2637. (in Chinese) |
|
[2]
|
Zhou Xiang, Zheng Hengbiao, He Jiaoyang, et al. Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery[J]. Isprs Journal of Photogrammetry Remote Sensing, 2017, 130:246-255. |
|
[3]
|
Xu Hong, Wang Xiangjun. Applications of multispectral/hyperspectral imaging technologies in military[J]. Infrared and Laser Engineering, 2007, 36(1):13-17. (in Chinese) |
|
[4]
|
Mansfield J R. Multispectral imaging[J]. Veterinary Pathology, 2014, 51(1):185-210. |
|
[5]
|
Zheng Yuquan, Yu Bingxi. Overview of spectrum dividing technologies in imaging spectrometers[J]. Remote Sensing, 2002, 6(1):75-80. |
|
[6]
|
Cao Xun, Du Hao, Tong Xin, et al. A prism-mask system for multispectral video acquisition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12):2423-2435. |
|
[7]
|
Cao Xun, Yue Tao, Lin Xing, et al. Computational snapshot multispectral cameras:toward dynamic capture of the spectral world[J]. IEEE Signal Processing Magazine, 2016, 33(5):95-108. |
|
[8]
|
Wang Xinquan, Huang Min, Gao Xiaohui, et al. Portable multispectral imager based on LCTF[J]. Acta Photonica Sinica, 2010, 39(1):71-75. (in Chinese) |
|
[9]
|
Zhao Yang, Yue Tao, Chen Linsen, et al. Heterogeneous camera array for multispectral light field imaging[J]. Optics Express, 2017, 25(13):14008-14022. |
|
[10]
|
Xu Liyan, Wang Jing, Qiu Jun, et al. Multi-spectral remote sensing image registration based on feature point[J]. Computer Science, 2011, 38(7):280-297. |
-
-
Proportional views
-
DownLoad: