Radiative Transfer Modeling and Monte Carlo Simulating of a New Digital Airborne Camera

Abstract:

Application of digital aerial camera was a milestone in the development of Photogrammetry and Remote Sensing. The new digital sensor leads to the changes of remote sensing imaging models. Generally, remote sensing imaging models have two kinds: geometric model and radiative model, in which radiative model mainly focus on the radiative quality of remote sensing images. In this paper, a new kind of airborne camera, namely Twice Imaging Digital Camera (TIDC), is introduced, which integrates the advantages of film airborne camera and digital one. It adopts twice imaging techniques to acquire large format, strict central projection images. The radiative transfer model of TIDC is built on the physical processing of digital imaging. The intermediate imaging device of TIDC influences digital images’ quality badly, such as luminous intensity distribution, decay and noise. For this reason, the approach of light tracing based on Monte Carlo is used to simulate radiative transfer in TIDC and test the performance of the intermediate imaging device. The importance of this work is: The Monte Carlo simulating experiment proposed by this paper can be widely applied in the simulation and modeling of other digital imaging systems, and has great practical value in the evaluation and optimization of image quality, the improvement of remote sending imaging system, as well as the estimate of image acquirement results.

• Periodical: Advanced Materials Research (Volumes 189-193)
• Pages: 1641-1646
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.189-193.1641
• Online since: February 2011
• Authors: Lei Yan, Shi Hu Zhao, Yi Ni Duan
• Keywords: Digital Airborne Camera, Monte Carlo Simulating, Radiative Transfer Modeling, Twice Imaging

References

[1] Lei Yan, Yingcheng Li, Xiaohui Duan, Shihu Zhao, Xiaobo Ding. China Invention Patent: Twice- Imaging Photographic Technology and Equipment ZL20071009585. 7.

[2] P. Vora, J.E. Farrell, J.D. Tietz, D.H. Brainard. Image Capture: Modeling and Calibration of Sensor Responses and their Synthesis From Multispectral Images. Hewlett-Packard Laboratories technical Report HPL. (1998).

[3] Li X., Strahler A. H: IEEE Trans on Geoscience Remote Sensing, (1985), GE-23(5), pp: 705-721.

DOI: 10.1109/tgrs.1985.289389

[4] Stephen T. Flock, Michael S. Patterson, Brian C. Wilson, Douglas R. Wyman: IEEE Transcations on biomedical engineering. Vol. 36, No. 12. Dec. (1989). pp: 1162-1169.

[5] Stephen T. Flock, Brian C. Wilson, Michael S. Patterson: IEEE Transcations on biomedical engineering. Vol. 36, No. 12. Dec. (1989). pp: 1169-1174.

[6] SHEN Tiantian, ZHAO Kangnian, ZHAO Shihu, DUAN Xiaohui, YAN Lei: Global Positioning System. Vol. 3. Nov. (2009). pp: 3-37.

[7] ZHAO Shihu: Digital Aerial Camera's Geometric Radiative Modeling and Its Validation in Twice Imaging Prototype System (In Chinese). Peking University doctor thesis. (2010).

[8] Prahl, S.A., M. Keijzer, S.L., Jacques, and A.J. Welch: A Monte Carlo Model of Light Propagation in Tissue. Dosimetry of Laser Radiation in Medicine and Biology, SPIE Institute Series IS5, 1989, (pp): 102-111.

DOI: 10.1117/12.2283590