The Constrained Energy Minimization (CEM) technique (Harsanyi, 1993) has become quite popular in recent years as a means for constructing a linear operator to perform matched filtering of hyperspectral images. The CEM algorithm tries to maximize the response of the target spectral signature while suppressing the response of the unknown background signatures. This technique has its roots in sign...

We find that energy losses due to synchrotron self-Compton (SSC) emission in blazar jets can produce distinctive signatures in the time-averaged synchrotron and SSC spectra of these objects. For a fairly broad range of particle injection distributions, SSC-loss dominated synchrotron emission exhibits a spectral dependence Fν ∼ ν−3/2. The presence or absence of this dependence in the optical and...

This work demonstrates the efficiency of using linear statistical modelling for estimation of concentrations of various substances in lake water using remotely sensed multiand hyperspectral images together with extensive field measurements collected over Lake Erken in Sweden. A linear relationship was assumed between image data and the corresponding field measurements, and the transformation co...

UNLABELLED To quantitatively assess cortical dysfunction in pediatric migraine, 31 adolescents with acute migraine and age- and gender-matched controls were studied using a magnetoencephalography (MEG) system at a sampling rate of 6,000 Hz. Neuromagnetic brain activation was elicited by a finger-tapping task. The spectral and spatial signatures of magnetoencephalography data in 5 to 2,884 Hz we...

We are presenting a detailed parameter study of the time-dependent electron injection and kinematics and the self-consistent radiation transport in jets of intermediate and low-frequency peaked BL Lac objects. Using a time-dependent, combined synchrotron-self-Compton and external-Compton jet model, we study the influence of variations of several essential model parameters, such as the electron ...

Hyperspectral imagery is a new class of image data which is mainly used in remote sensing. It is characterized by a wealth of spatial and spectral information that can be used to improve detection and estimation accuracy in chemical and biological standoff detection applications. Finding spectral endmembers is a very important task in hyperspectral data exploitation. Over the last decade, sever...

Forest type maps play a significant role in sustainable forest management. For many years aerial photos and satellite data were a primary data source supporting forest type mapping. Recent developments in remote sensing provide opportunities to further enhance forest type maps by introducing variations of spectral, biochemical and biophysical properties at various scales. A structural sampling ...

The Brazilian Cerrado biome comprises a vertically structured mosaic of grassland, shrubland, and woodland physiognomies with distinct phenology patterns. In this study, we investigated the utility of spectral vegetation indices in differentiating these physiognomies and in monitoring their seasonal dynamics. We obtained high spectral resolution reflectances, during the 2000 wet and dry seasons...

Recent experiments indicate that the tendency toward the formation of unidirectional charge density waves (“stripes”) is common to various underdoped cuprates. We discuss momentum-resolved spectral properties of valence-bond stripes, comparing the situations of ideal and short-range stripe order, the latter being relevant for weak and/or disorder-pinned stripes. We find clear signatures of orde...

this study aimed to identify genes that show signatures of selection for mutations in iranian native cattle breeds. the data consisted of genotypes for ~777962 snp markers of 90 animals from eight iranian native cattle breeds distributing over the country. therefore, the aim was to identifying divergently selected regions of the genome. study of population differentiation across the genome usin...