• Antonio Robles-Kelly
  • Cong Phuoc Huynh
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)


In this chapter, we explore the opportunities, application areas and challenges involving the use of imaging spectroscopy as a means for scene understanding. This is important, since scene analysis in the scope of imaging spectroscopy involves the ability to robustly encode material properties, object composition and concentrations of primordial components in a scene. The combination of spatial and compositional information opens up a vast number of application possibilities. This combination of a broad domain of application with the use of key technologies makes the use of imaging spectroscopy a worthwhile opportunity for researchers in the areas of computer vision and pattern recognition.


Imaging Spectroscopy Shape Recovery Scene Analysis Image Spectroscopy Scene Classification 
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 London 2013

Authors and Affiliations

  • Antonio Robles-Kelly
    • 1
  • Cong Phuoc Huynh
    • 1
  1. 1.National ICT AustraliaCanberraAustralia

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