We present an innovative way to autonomously classify LiDAR points into bare earth, building, vegetation, and other categories. One desirable product of LiDAR data is the automatic classification of the points in the scene. Our algorithm automatically classifies scene points using Compressed Sensing Methods via Orthogonal Matching Pursuit algorithms utilizing a generalized K-Means clustering al...

Ray casting may be applied to the terrain rendering from DTMs (Digital Terrain Models). In this paper we propose a ray casting method which exploits exact vertical ray coherence. This method not only achieves a good performance, but also allows any set of viewing parameters. To analyze vertical ray coherence property, we define the terms: a ray plane which is perpendicular to the sea-level plan...

Introduction: Integration science based on KAGUYA and other missions requires spatial registration of different types of data sets. For example, two types of topographic data sets; Digital Terrain Model (DTM) in 10m/pixel based on stereoscopic images of Terrain Camera (TC) in the Lunar Imager/Spectrometer (LISM) and lunar surface profiles in 1km interval derived from Laser Altimeter (LALT). The...

A Digital Terrain Model (DTM) is typically used in applications such as environment planning, flood risk evaluation and building detection. A Digital Surface Model (DSM) is usually acquired by LASER scanning or from stereoscopic pairs of aerial or satellite images. By contrast, a direct DTM acquisition traditionally requires more effort on the terrain or for scene object classification and the ...

The SHAllow RADar (SHARAD) onboard Mars Reconnaissance Orbiter (MRO) is a 20 MHz Synthetic Aperture Radar (SAR) that probes the first hundreds of meters Martian subsurface. In order to interpret detection subsurface interfaces with ground penetrating radars, simulations using Digital Terrain Models (DTM) are necessary. This methodology paper focuses on analysis tens SHARAD, comparing use differ...

This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevation) Map (DTM/DEM). More specifically, it has been shown that the optical flow derived from two consecutive camera frames can be used in combination with a DTM to estimate the position, orientation and ego-motion paramet...

Thanks to quickly spreading technologies like laser scanning, which are becoming a quite common means of data acquisition for architectural objects or cultural heritage sites (but not only!), integration between datasets of different origin and resolution is still an open problem. This paper describes an approach whose goal is to define a surface which models a proper transition between a high ...

Terrain classification of current discrete airborne laser scanning data requires filtering algorithms based on the spatial relationship between neighbouring three-dimensional points. However, difficulties commonly occur with low vegetation on steep slopes and when abrupt changes take place in the terrain. This paper reports on the integration of additional information from latest generation ful...