Abstract
Spectral imaging (or imaging spectroscopy) is a powerful technique that acquires the complete light spectrum at each point in the image of a scene. This can be obtained by a wide variety of methods. A first approach relies on placing band-pass spectral filters in front of a monochrome camera, thus acquiring the hyperspectral image at a limited number of spectral bands. A second class of techniques collects the whole continuous spectrum of each image point; an example is the combination of a dispersive spectrometer with a raster-scanning approach, at the cost of high losses imposed by the entrance slit of the spectrometer. An alternative approach combines imaging with Fourier-transform (FT) spectrometry [1]. This technique can retrieve in parallel the spectra for all pixels in a scene and is hence suited for imaging, but it requires controlling the delay with sub-cycle precision, which is very difficult to achieve with standard Michelson or Mach-Zehnder interferometers.
© 2019 IEEE
PDF ArticleMore Like This
A. Candeo, B. E. Nogueira de Faria, G. Valentini, A. Bassi, G. Cerullo, and C. Manzoni
ch_p_22 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2019
Antonio Perri, Barbara E. Nogueira de Faria, D. Cristina Teles Ferreira, Dario Polli, Daniela Comelli, Gianluca Valentini, Giulio Cerullo, and Cristian Manzoni
HM3C.4 Hyperspectral Imaging and Sounding of the Environment (HISE) 2018
Alessia Candeo, Barbara E. Nogueira de Faria, Gianluca Valentini, Andrea Bassi, Giulio Cerullo, and Cristian Manzoni
NS1B.4 Novel Techniques in Microscopy (NTM) 2019