An increasing number of satellite sensors operating in the optical and microwave spectral bands represent an opportunity for utilizing multi-sensor fusion and data assimilation techniques for improving the estimation of snowpack properties using remote sensing. In this paper, the strength of a synergistic approach of leveraging optical, active and passive microwave remote sensing measurements t...

This paper addresses the issue of motion estimation on image sequences. The standard motion equation used to compute the apparent motion of image irradiance patterns is an invariance brightness based hypothesis called the optical flow constraint. Other equations can be used, in particular the extended optical flow constraint, which is a variant of the optical flow constraint, inspired by the fl...

We demonstrate that near-field optical and atomic force microscopy data can be used for super-resolution threedimensional (3-D) image restoration in optical sectioning fluorescence microscopy. A crucial feature in this approach is the full integration of such data sets with digital far-field images. The scanned probe data is used to provide modalities for boundary constraints which define surfa...

During dangerous circumstances, knowledge about population distribution is essential for urban infrastructure architecture, policy-making, and planning with the best Spatial-temporal resolution. The spatial-temporal modeling of case study was investigated in present study. In this regard, number generated trips absorbed using taxis pick-up drop-off location data calculated first, census then al...

This paper presents a computer vision algorithm that segregates spurious optical flow artifacts to detect a moving object. The algorithm consists of six steps. First, the pixels in each image are shifted to compensate for camera rotation. Second, the images are smoothed with a spatio–temporal Gaussian filter. Third, the optical flow is computed with a gradient–based technique. Fourth, optical f...

Biological, chemical, and physical attributes of aquatic ecosystems are often strongly influenced by groundwater sources. Nonetheless, widespread access to predictions of subsurface contributions to rivers, lakes, and wetlands at a scale useful to environmental managers is generally lacking. In this paper, we describe a "neighborhood analysis" approach for estimating topographic constraints on ...

Optical flow estimation is a fundamental task that aims to find the 2-dimensional motion field by identifying correspondences between two input images. For quite long time, correlation volume followed convolutional neural networks (CNN) directly estimates optical was predominant pipeline. However, several pioneering methods proposed global matching recently, pointing out limitation CNN-based ar...

today, the women from the half of the civil society population and from the perspective of security in the urban society, they are vulnerable social groups that their security is threatened in different ways. this study seeks to examine the factors affecting social security of women living in two neighborhoods in vanak and sarasiab. research theoretical model is composed (inspired by the views ...

Public bike sharing systems are important alternatives to motorized individual traffic and are gaining popularity in larger cities worldwide. In order to maintain user satisfaction, operators need to actively rebalance the systems so that there are enough bikes available for rental as well as sufficient free slots for returning them at each station. This is done by a vehicle fleet that moves bi...