Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...

In this paper we consider the problem of reconstructing architectural scenes from multiple photographs taken from arbitrarily viewpoints. The original contribution of this work is the use of a map as a source of geometric constraints in order to obtain in a fast and simple way a detailed model of a scene. We suppose images are uncalibrated and have a t least one planar structure as a faqade for...

This paper documents a research project conducted in the cities of Mantua and Sabbioneta, cooperation with local authorities, aim engaging residents tourists quest for an alternative more participatory way giving voice to these towns. The actions implemented led development kit exploring participating cities, based on personal stories, old maps photos, exploratory field trips secondary school s...

the purpose of this study was to determine the plant density of sugar beet fields in qazvin region using satellite images and remote sensing techniques. the plant density can be used to estimate the pre-harvest sugar beet yield and as a result the proper management of agricultural and industrial processes involved in sugar production. satellite data can be used to remove the cost and time of co...

—Satellite remote sensing is being used operationally by Swedish authorities in applications involving, for example, change detection of clear felled areas, use of k-Nearest Neighbour estimates of forest parameters, and post-stratification (in combination with National Forest Inventory plots). For forest management planning of estates, aerial photointerpretation in combination with stand-wise f...