Imaging Spectroscopy for Scene Analysis

<p>In contrast with trichromatic image sensors, imaging spectroscopy can capture the properties of the materials in a scene. This implies that scene analysis using imaging spectroscopy has the capacity to robustly encode material signatures, infer object composition and recover photometric parameters.</p><p>This landmark text/reference presents a detailed analysis of spectral imaging, describing how it can be used in elegant and efficient ways for the purposes of material identification, object recognition and scene understanding. The opportunities and challenges of combining spatial and spectral information are explored in depth, as are a wide range of applications from surveillance and computational photography, to biosecurity and resource exploration.</p><p><b>Topics and features:</b></p><ul><li>Discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation</li><li>Examines models of surface reflectance, the recovery of photometric invariants, and the estimation of the illuminant power spectrum from spectral imagery</li><li>Describes spectrum representations for the interpolation of reflectance and radiance values, and the classificati