The concept of phase transition is most precise in the context of equilibrium statistical mechanics in the thermodynamic limit. Unfortunately many systems of interest are excluded by the narrowness of this definition. In this paper we continue our master equation approach [1,2] to this problem and extend that method to structures having strong resemblance to those believed to exist in spin glas...

This paper presents a novel approach for anomaly detection base on computing and utilizing descriptive spectral signatures. The goal of the work is to distinguish between contaminated and normal water areas within a region of investigation. A site-independent approach was developed by considering descriptive spectral signatures characterising normal sweat lake water as reference spectral featur...

For monitoring purposes, change detection and segmentation of remotely sensed multispectral images it is necessary to normalize the images in order to yield spectral signatures independent of illumination, atmospheric conditions and surface orientations. For small scale artiicial objects in high resolution images however, the surface orientation is not known, and hence comparison of spectral si...

Given a set of mixed spectral vectors, spectral mixture analysis (or spectral unmixing) aims at estimating the number of reference materials, also called endmembers, their spectral signatures, and their fractional abundances. A semi-supervised approach to deal with the linear spectral unmixing problem consists in assuming that the observed spectral vectors are linear combinations of a small num...

Remote sensing involves collection and interpretation of information about an object, area or event without any physical contact with the object. All earth surfaces features which include minerals, vegetation, dry soil, water and snow have unique spectral reflectance signatures. These spectral signatures vary over the range of wavelengths in the electromagnetic spectrum and these all large numb...