The paper presents the preliminary results of the analysis of two archival SAR datasets acquired by ERS-1/2 satellites of the same area of Roznow Lake in Southern Poland. Both datasets cover the same period of 8 years (1992 - 2000) and refers to the same area by the 50% of overlap between the neighbouring satellite tracks. The main purpose of this analysis was to derive the overlapping data about deformation velocity calculated using PSI (Persistent Scatterers Interferometry). The presented PSI results refer to PS (Persistent Scatterers) located on active landslides and therefore representing landslide movement. In Polish Carpathians, due to sparse urbanization, vegetation and rough relief the obtained PS density is usually not very high and generally difficult to interpret. The application of two overlapping datasets, where both of them observe the same phenomena, allow to cross-validate the data by identification of common PS points. For two datasets acquired from different tracks, usually many PS are not common and occur at different locations. Such situation could be explained by the difference between the incidence angles for both acquisitions. In a case of two tracks and therefore different terrain objects might act as PS. By joining the PS point sets from such neighbouring tracks the density of PS could be significantly increased. In order to perform a PSI analysis of Roznow Lake the data acquired from 179 and 408 tracks have been used and a few hundred of PS were obtained from PSI processing. For both tracks similar deformations velocity were obtained within a range of +/- 6 mm/yr. The PS points on active landslides are usually related to the buildings (walls, roofs) and roads affected usually by high risk., Zbigniew Perski, Andrzej Borkowski, Tomasz Wojciechowski and Antoni Wójcik., and Obsahuje bibliografii
Automotive industry belongs among the most essential employers in the Czech Republic. Besides car factories, there are also numerous companies producing OEM (Original Equipment Manufacturer) components for automotive industry, especially car lighting products like headlights and components for ADAS (Advanced driver assistance systems) systems. An integral part of these systems are sensors based on photonic technologies, such as cameras, LIDARs, LADARs, thermal vision, noctovision etc. ADAS creates a very complex, multidisciplinary topic. Areas of knowledge needed comprise optics, electronics, mechanical engineering, but also psychology. This is motivated by the fact that the driver - a human - still plays an essential role in the actual chain of sensors and actuators. and Oblast automotive tradičně patří mezi významné zaměstnavatele vČR. Kromě samotných automobilek na českém trhu působí i množství firem zabývajících se výrobou OEM (Original Equipment Manufacturer) komponentů pro oblast automotive, zejména pak světlometů, ale také např. pokročilých asistenčních systémů pro řidiče (ADAS) a jejich komponent. Nedílnou součástí celé řady těchto systémů je senzorika využívající právě optiku. Jedná se např. o kamery pro systémy strojového vidění, LIDARy a LADARy, termovize, noktovize aj. Problematika pokročilých asistenčních systémů je značně multidisciplinární - zasahuje do oblastí optiky, elektroniky, strojního inženýrství, ale také psychologie. Je nutné si totiž uvědomit, že součástí celého detekčního a vyhodnocovacího řetězce je stále ještě řidič-člověk.