Terrain analysis is a very important part of the study of surface processes. Although several techniques have been used historically to study terrain, the use of satellite imageries has become one of the optimum methods now. Presently there are lots of satellite imageries available for extraction of elevation features microwave optical etc. The stereo pair images have a great potentiality in th...

With the constant increase in the size of terrain data, it is becoming less feasible to have all the data in main memory when performing visualization. The data exchange between main memory and secondary storage becomes a bottle-neck in terrain visualization. The slow-down of the visualization performance is even more obvious when visualizing terrain in a client-server environment because of th...

Multi-resolution Terrain Model (MTM), which is widely used for visualizing large terrain, is initially designed as a main-memory method. Such an assumption is no longer valid with the rapidly increasing terrain size, which makes the data exchange between main memory and secondary storage the bottle-neck of multi-resolution terrain visualization. In this paper, a novel multi-resolution access me...

Motion planning for planetary rovers must consider control uncertainty in order to maintain the safety of the platform during navigation. Modelling such control uncertainty is difficult due to the complex interaction between the platform and its environment. In this paper, we propose a motion planning approach whereby the outcome of control actions is learned from experience and represented sta...

An often-ignored aspect of unmanned cross-country vehicles is the dynamic response of the vehicle on different terrain. We discuss techniques to predict the dynamic vehicle response to various natural obstacles. This method can then be used to adjust the vehicle dynamics to optimize performance (e.g. speed) while ensuring that the vehicle is not damaged. This capability opens up a new area of o...

‘STET model’ is a framework for realistic surveillance setup in which multi-target multi-sensor scenario can be modeled for surveillance applications. The components of STET model framework are Sensor (S), Targets (T), Environment (E) and Terrain (T). The set of characters relevant to surveillance operation of the sensor is captured in Sensor modeling. In target modeling, the characteristics of...

This study demonstrates that in mountainous areas the use of residual terrain model (RTM) data significantly improves the accuracy of vertical deflections obtained from high-degree spherical harmonic synthesis. The new Earth gravitational model EGM2008 is used to compute vertical deflections up to a spherical harmonic degree of 2160. RTM data can be constructed as difference between high-resolu...