Light Field Modeling and Its Application to Remote Sensing Image Simulation

  • Mingxiang Huang
  • Jianhua Gong
  • Zhou Shi
  • Lihui Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4282)

Abstract

In Virtual Reality (VR) and computer graphic fields, 3-dimension (3D) matter modeling has been developed for many years and successfully applied to many fields. However, researches on 3D energy field modeling are still not enough owing to challenges of full understanding and real-time calculation of invisible energy fields. In the visual information world, energy field modeling is becoming a new research point and should promote relevant research advancement and widen applications. In the paper, after reviewing the 3D object modeling, light field modeling is addressed from three aspects which contain light propagation characteristic, bidirectional reflectance distribution function (BRDF), sunlight transfer process between solar source and observers. Especially the quantitative radiances at ground level and aircraft/space level are presented. According to the sunlight transfer process, a research framework of Remote Sensing Image Simulation (RSIS) is proposed and an experiment is implemented. Our study shows that light field modeling can make invisible energy fields easily-understood and demonstrate an example of multi-sciences integration research.

Keywords

Virtual Reality Light Field Energy Field Bidirectional Reflectance Distribution Function Solar Diffusion Radiation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mingxiang Huang
    • 1
    • 2
  • Jianhua Gong
    • 1
    • 2
  • Zhou Shi
    • 3
  • Lihui Zhang
    • 1
  1. 1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing ApplicationsChinese Academy of SciencesBeijingChina
  2. 2.Key Laboratory of Poyang Lake Ecological Environment and Resource Development, Ministry of EducationJiangxi Normal UniversityNanchangChina
  3. 3.Institute of Agricultural Remote Sensing and Information SystemZhejiang UniversityHangzhouChina

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