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Updated road databases are required for many purposes such as urban planning, disaster management, car navigation, route planning, traffic management and emergency handling. In the last decade, the im...
The demand for accurate spatial data has been increasing rapidly in recent years. Mobile laser scanning (MLS) systems have become a mainstream technology for measuring 3D spatial data. In a MLS point ...
High resolution satellite images such as IKONOS and Quick Bird data provide detail information of land cover at a certain point of time. The small objects in an image represent specific conditions of ...
Compared with the traditional remote sensing image processing system based on pixel, there are some unique characters in the object-based classification: various operations on objects; variety of obje...
Virtually all segmentation methods require parameter tuning, quite a difficult task, mostly performed manually through a troublesome trial-and-error process. To overcome this difficulty, an earlier ...
Automated detection and 3D modelling of objects in laser range data is of great importance in many applications. Existing approaches to object detection in range data are limited to either 2.5D data (...
With the development of the economy, the fast and accurate extraction of the city road is significant for GIS data collection and update, remote sensing images interpretation, mapping and spatial data...
This paper presents a methodology for recognizing, identifying and classifying built objects in dense urban areas, using a morphospectral approach applied to VNIR/SWIR hyperspectral image (HySpex). Th...
With the launch of very high spatial resolution sensors, a good positional quality can be expected from spatial imagery. Furthermore,efficient segmentation algorithms can increase the productivity and...
Qualitative representing and reasoning for road network moving objects is an important problem in spatio-temporal reasoning, but it is till open. We propose a new spatial algebra for road network movi...
When complex scenes are modelled using measured data, such as mass data from laser scanners, the objects generated do not only have to fit the data, but also have to fulfill additional constraints, li...
This paper derives the theoretical background for upcoming dual-channel radar satellite missions to monitor traffic from space. As it is well-known, an object moving with a velocity deviating from the...
Most of the research in remote sensing is focused on developing well-defined and reliable automated processes for the extraction of information from different types of imagery. In this communication w...
In this paper we describe a simulation system and investigations for analysis of recorded laser pulses. A simulation setup that considers simulated signals of synthetic objects was developed for explo...
Multispectral video system developed by the Authors in real time is presented in the paper. The system enables to acquire precise information about the objects and theirs location, and when combined w...

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