Large terrain databases require a great number of polygons and textures. In consequence, transmission of terrain data over slow networks is still worrying. Multiresolution models allow progressive transmission, that is, the transmission of a simple model followed by successive refinements. In this work we describe a new multiresolution model called Geometric-Textured Bitree (GTB) that enables p...

Over the past few years, laser scanning has been established as a leading technology for the acquisition of high density 3D spatial information. Digital Terrain Models (DTMs), which can be used for different engineering applications, are obtained by classification of laser data and removing the points that do not belong to terrain surface. The commonly used methods for the classification of las...

Terrain classification is a fundamental task in outdoor robot navigation to detect and avoid impassable terrain. Camera-based approaches are wellstudied and provide good results. A drawback of these approaches, however, is that the quality of the classification varies with the prevailing lighting conditions. 3D laser scanners, on the other hand, are largely illumination-invariant. In this work ...

Visual sensing techniques are presented for enhancing rover traversability assessment on planetary surfaces. Geometric information from stereo image range data is used to identify salient terrain features such as rocks, and that information, along with terrain image appearances, is associated with rover traversability. Performance of rule-based, neural network, and fuzzy logic methods for class...

glaciated terrain classification Gulab Singh, Y. Yamaguchi, and S-E. Park Graduate School of Science and Technology, Niigata University, Ikarashi 2-8050, Niigata, 950-2181, Japan Abstract---Glaciated terrain classification is important for hydrological and climate change modeling. For this purpose, fully polarimetric Advanced Land Observation Satellite-Phase Array L-band Synthetic Aperture Rada...