We construct hyper-homology spectral sequences of Z-graded and RO(G)-graded Mackey functors for Ext and Tor over G-equivariant S-algebras (A∞ ring spectra) for finite groups G. These specialize to universal coefficient and Künneth spectral sequences.

The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of “over fitting” when classification is performed. Therefore it is necessary to reduce the dimensionality through ways like feature selection. Currently, there are two kinds of feature selection methods: filter methods and wrapper methods. The form kind requires no feedback fr...

An apparatus is described for the measurement of second-order nonlinear optical properties via hyper-Rayleigh scattering with 1 cm spectral resolution of the scattered light. The setup allows a complete investigation of the polarization dependence of the second-harmonic scattered light. The combination of good spectral resolution, polarization analysis, and high sensitivity allows the determina...

This paper aims for color constant identification of object colors through the analysis of spectral color data. New computational color models are proposed which are not only invariant to illumination variations (color constancy) but also robust to a change in viewpoint and object geometry (color invariance). Color constancy and invariance is achieved by spectral imaging using a white reference...

4 We present two new linear algorithms that perform unmixing in hyper-spectral 5 images and then recognize their targets whose spectral signatures are given. The 6 first algorithm is based on the ordered topology of spectral signatures. The second 7 algorithm is based on a linear decomposition in each pixel’s neighborhood. The sought 8 after target can occupy subor above pixel. These algorithms...

Intensity-based edge detectors cannot distinguish whether an edge is caused by material changes, shadows, surface orientation changes or by highlights. Therefore, our aim is to classify the physical cause of an edge using hyperspectra obtained by a spectrograph. Methods are presented to detect edges in hyperspectral images. In theory, the effect of varying imaging conditions is analyzed for ”ra...

This paper explores the utility of the Independent Component Analysis (ICA) for remote sensing applications and compares it directly to the Principal Component Transform (PCT). The ICA is a signal processing method that extracts independent signal sources from a composite signal. It has been applied to a wide area of applications ranging from electroencephalography, for understanding brain acti...

1. ABSTRACT A new methodology to retrieve cloud optical properties using hyper-spectral infrared measurements is presented. The new method makes use of line by line multiple scattering (LbLMS) simulations to retrieve spectrally resolved cloud optical depths from spectral radiance data. The retrieval requires knowledge of the clear sky profile and cloud boundaries. The cloud microphysical proper...

in this paper rst we de ne the notions of positive implicativehyper mv -ideals of types 1,2,3 and 4 in hyper mv -algebras and we investigatethe relationship between of them . then by some examples we show that thesenotions are not equivalent. finally we give some relations between these notionsand the notions of (weak) hyper mv -ideals and (weak) hyper mv -deductivesystems of hyper mv -algebras.