Abstract This paper presents a robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) in a complex mountainous humid area and Yardangs in Lut Desert, Iran, a hyper...

These days, some people can’t leave their house without their mobile phone. This device has become such an important part of our everyday life, that the barrier between the physical and virtual world is blurred. Mobile communication allows us to connect us to anybody, from any place at any time. We can be physically present at a particular place, but still be digitally connected to our friends ...

Interferometry provides the only practicable way to image meter-scale structure in geosynchronous satellites. This capability represents a unique commercial opportunity for astronomical interferometry, but to date no interferometer has been able to make an image of such a satellite. We discuss the challenges of imaging these objects and present results of sensitivity calculations and imaging si...

Ground telescopes enable low-cost tracking and characterization of meter-class space objects. Since a telescope may be tasked to observe multiple fields of the sky, the time between observations for each object may vary from several seconds to tens of minutes. Long propagation times with nonlinear dynamics are challenging for traditional filtering methods such as the Extended Kalman Filter (EKF...

This paper presents a methodology of image orientation and DEM extraction from ALOS-PRISM stereopairs without the use of GCPs. It uses the approximate geo-location information derived from the sensor navigation instruments and the SRTM-DEM. The method consists in the extraction of a relative DEM, which initially is not correctly geo-referenced. This relative DEM is then matched to the SRTM-DEM,...

Digital Elevation Models (DEM) and 3D spatial data plays an important role in typical earth science applications. Numerous simulations, e.g. flood modeling, and spatial analysis, requires very exact terrain data. During the acquisition of these data, for an example by means of laserscanning, very large data sets results due to the high measuring point density (up to four points per square meter...

The China-Pakistan Economic Corridor (CPEC) is a multi-billion-dollar collection of ongoing and planned Chinese projects in Pakistan ranging from infrastructure development to the establishment special economic zones sharing technical expertise by China. For China, it an integral part its ambitious Belt Road Initiative (BRI) through which aims establish hegemony Eurasia Africa. Pakistan, opport...

With the rise of China and the implementation of the “21st Century Maritime Silk Road” strategy, research on geo-economics between China and ASEAN (Association of Southeast Asian Nations) countries has become increasingly important. Current studies mainly focus on influencing factors, while there is little consideration about how these influencing factors act on geo-economic relationships. Ther...