An Integrated System of the Remotely Sensed Hyperspectral Imager and Forward Looking Infrared Sensor
- Paper number
IAC-14,B1,P,16,x22560
- Author
Dr. Yang Cao, R&D Center of Academy of Information Technology of China Aerospace Science & Industry Corp., China
- Coauthor
Mr. Rong Hu, China
- Coauthor
Mr. Bin Jin, China
- Coauthor
Prof. Wu Zhou, China
- Coauthor
Mr. Qian Ren, China
- Coauthor
Mrs. Zhengyi Wei, China
- Year
2014
- Abstract
The hyperspectral imager and the forward looking infrared (FLIR) sensor are two kinds of valuable remote sensors in the surveillance and reconnaissance application: the former one can obtain spectral and spatial information of the objects on the ground, simultaneously, so that the precise identification of the objects can be achieved, and the latter one can obtain the radiation information of the objects and has the capability to detect the objects which have the radiation difference from the environment. Therefore, both hyperspectral imager and FLIR sensor are extremely useful in object recognition, camouflage detection, etc. In this paper, the potential and advantage of the integrated system of the hyperspectral imager and the FLIR sensor is explored. An integrated system is designed, the components of the system are introduced and the approach of the data fusion is investigated as well. The experiments are carried out in which the designed integrated system is planted on a crane to acquire the ground data. In the experiments, the average classification accuracy of objects on the ground is 86.33%, 94.47% and 95.64% using FLIR data, hyperspectral data and both data, respectively, and the Kappa coefficients 0.8155, 0.9239 and 0.9398. The results show that the integrated system could be very useful in application.
- Abstract document
- Manuscript document
IAC-14,B1,P,16,x22560.pdf (🔒 authorized access only).
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