Unique correct correspondence cannot be obtained only by use of gray correlation technique, which describes gray similar degree of feature points between the left and right images too unilaterally. The gray correlation technique is adopted to extract gray correlation peaks as a coarse matching set called multi-peak set. The disparity gradient limited constraint is utilized to optimize the multi...

Groundwater is one the major sources of natural water being exploited excessively for various uses in India.
 Thus, it very essential to monitor spatial and temporal variability groundwater quality. Geo-Statistical Interpolation using GIS has been considered as best most advanced method interpolation prediction studies pollution quality, adopted universally. In this paper, ordinary Kriging...

biodiversity refers to all forms of living animals, plants and microorganisms and agro-biodiversity is a component of biodiversity that represents diversity in arable lands. the aim of this study was to determine the biodiversity status of agro-ecosystems of shahr-e-rey city located in south of tehran, through calculating species richness index using rarefaction method. to the collect required ...

In spatial phase-shifting interferential system on polarization interference and grating beam-splitting, the azimuth errors of the polarizers are the central error sources of phase-shifting steps and have 1:1 effect for the steps. It applies two ways to determine the azimuth errors of the ploarizers: experimental testing and software calculating. The basic principle of experimental testing is t...

Geostatistics deals with spatial and temporal data from natural phenomena and involves estimating values of regionalized variables. In this analysis the fundamental tool is the variogram that is a variability measure; for example, geological variability related to distance. The variogram shows the degree of spatial dependence between samples for a specific support. The squared differences betwe...

Many geospatial science subdisciplines analyze variables that vary over both space and time. The space-time autoregressive (STAR) model is one specification formulated to describe such data. This paper summarizes STAR specifications that parallel geostatistical model specifications commonly used to describe space-time variation, with the goal of establishing synergies between these two modeling...

This paper presents both estimation and simulation as optimization problems that differ in the optimization criteria, minimization of a local expected loss for estimation and reproduction of global statistics (semivariogram, histogram) for simulation. An intermediate approach is proposed whereby an initial random image is gradually modified using simulated annealing so as to better match both l...