A super-resolution generation model for cultural relics image(CR-SRGAN) was proposed in order to solve the problems caused by the long history, such as the dark and old surface of cultural relics and the fading of images.Aiming at the problem of image degradation, the model obtained the low resolution image data set corresponding to the high-resolu
In this work, using GPS which has read more best accuracy that can be established set of GCPs, also two satellite images can be used, first with high resolution QuickBird, and second has low resolution Landsat image and topographic maps with 1:100,000 and 1:250,000 scales.The implementing of these factors (GPS, two satellite images, different scale
When wind blows over dry snow, the snow surface self-organizes into bedforms such as dunes, ripples, snow waves, and sastrugi.These bedforms govern the interaction between wind, heat, and the snowpack, but thus far they have attracted few scientific studies.We present the first time-lapse documentation of snow bedform movement and evolution, as par
In this article, we present a Bayesian geostatistical framework that is particularly suitable for interpolation of hydrological data when the available dataset is sparse and includes both long and short records of runoff.A key feature of the proposed framework is here that several years of runoff are modelled simultaneously with two spatial fields: