e present a simplified dual-channel discrimination model with spatio-temporal filters to represent the t s visual system contrast sensitivity, and masking based on local spatio-temporal contrast energy. The contras ensitivity filter parameters of the model were based on previous work. The masking and global sensitivity h t parameters are calibrated to masking data using brief grating target sig...

Water changes information in the hydrological system, in time and space, as an environmental issue takes heed of managers and decision makers in watershed management and river engineering, which can be addressed by using spatially distributed modeling. In this study simulation of water balance components in Taleghan mountainous watershed is performed using the spatially distributed hydrological...

The estimation of source motion parameters takes a considerable importance for many areas. Especially for underwater acoustic applications where a large amount of da ta is available. This paper deals with the estimation of source motion parameters directly from the spatio-temporal data. A general frame for a separate estimation of the spatial frequencies and spatial freq-rate is presented, avoi...

Temporal textures are textures with motion. Examples include wavy water, rising steam and fire. We model image sequences of temporal textures using the spatio-temporal autoregressive model (STAR). This model expresses each pixel as a linear combination of surrounding pixels lagged both in space and in time. The model provides a base for both recognition and synthesis. We show how the least squa...