In this paper we present a method for hyper-spectral image restoration for integral field spectrographs (IFS) data. We specifically address two topics: (i) the design of a fast approximation of spectrally varying operators and (ii) the comparison between two kind of regularization functions: quadratic and spatial sparsity functions. We illustrate this method with simulations coming from the Mul...

Apparatus and methods are described for measurement of the polarization dependence of hyper-Rayleigh scattering near 90° scattering angle with 0.1% accuracy for all four configurations where the incident and scattered light is linear polarized either parallel or perpendicular to the scattering plane. Measurements are made with large collection aperture and extrapolated to zero collection numeri...

Cluster analysis partitions a dataset into a reasonable number of disjoint groups, where each group contains similar patterns. Due to a high number of spectral channels hyper Remote Sensing are difficult to classify with high accuracy and efficiency. In this paper we propose a new image clustering method MD-AP( Manhattan Distance Based Affinity Propagation) for extract the Land cover Classifica...

In this paper we present a method for hyper-spectral image restoration for integral field spectrographs (IFS) data. We specifically address two topics: (i) the design of a fast approximation of spectrally varying operators and (ii) the comparison between two kind of regularization functions: quadratic and spatial sparsity functions. We illustrate this method with simulations coming from the Mul...

Hyper-Rayleigh scattering (HRS) spectra were measured for liquid solutions of C6H5NO2 and CH3NO2 at T=300 K. The depolarized HRS spectra at small frequency shift are dominated by two components due to reorientation of the nitrobenzene molecules. One is a Lorentzian with spectral width nu1=0.16-0.45 cm(-1) and corresponding orientation relaxation time tau=33-12 ps. The second component is a narr...