This paper presents a method for relative orientation using the feature based matching techniques. The interest operator and feature based matching are use to select points and measure parallax for relative orientation automatically. After the feature based matching, a fine least square matching is preformed to achieve high precision. The matched points are then used for the relative orientatio...

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

Sediment transport constantly influences river and civil structures and the lack ofinformation about its exact amount makes management efforts less effective. Hence,achieving a proper procedure to estimate the sediment load in rivers is important. We usedsupport vector machine model to estimate the sediments of the Kakareza River in LorestanProvince and the results were compared with those obta...

Partial least square (PLS) analysis is the most favourite tool in chemometrics to develop calibration models. PLS technique allows us decipher even complex systems by analysing all variables instead of looking at them one a time. not only capture maximum variation associated with predictor (i.e. spectra) and predicted concentration) but also maximises correlation between them. The present artic...

infiltration and its modeling are important in design and implementation of irrigation projects, drainage, water-resources management, soil-conservation, hydrological studies, and artificial-recharge of groundwater and are influenced by different characteristics of soil and infiltrated water including the amount of salinity and sodium. the aim of this study was to evaluate the infiltration mode...