Abstract
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.
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Robles-Kelly, A., Huynh, C.P. (2013). Introduction. In: Imaging Spectroscopy for Scene Analysis. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-4652-0_1
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DOI: https://doi.org/10.1007/978-1-4471-4652-0_1
Publisher Name: Springer, London
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