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Ongoing innovations in matching algorithms are continuously improving the quality of geometric surface representations generated automatically from aerial images. This development motivated the launch...
Aerial Image records the large-range earth objects with the ever-improving spatial and radiometric resolution. It becomes a powerful tool for earth observation, land-coverage survey, geographical cens...
A new straight line matching method for aerial images is proposed in this paper. Compared to previous works, similarity constraints combining radiometric information in image and geometry attributes i...
Dense matching plays an important role in many fields, such as DEM (digital evaluation model) producing, robot navigation and 3D environment reconstruction. Traditional approaches may meet the demand ...
Monitoring the behavior of people in complex environments has gained much attention over the past years. Most of the current approaches rely on video cameras mounted on buildings or pylons and indivi...
Classification is an open, old and basic problem in many domains. Recently, a lot of new methods come forth, such as Bayesian Networks. Bayesian Networks, one of probabilistic networks, are a powerful...
In recent years, digital aerial frame cameras got more and more attention in photogrammetry. A good example is the UltraCamX, which was introduced by Vexcel Imaging in Graz/Austria in 2006. This camer...
In this study, a robust methodology for the detection of buildings from a single color aerial image is proposed. The methodology is initialized with the mean-shift segmentation algorithm. Next, a ve...
A classification tree based approach for building detection was tested. A digital surface model (DSM) derived from last pulse laser scanner data was first segmented and the segments were classified in...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video-based systems mounted on aeri...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video-based systems mounted on aeri...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video-based systems mounted on aeri...
The goal of our study was to develop an automatic change detection method based on laser scanner, aerial image and map data to be used in updating of building maps. The method was tested in a study ar...
In this paper, we propose a semiautomatic road extraction scheme that is based on template matching and optimization by Hopfield neural network. In the semiautomatic way, a road is extracted automatic...
In this paper, we present an improved algorithm used for low altitude aerial image automatic matching based on SIFT operator. Compared to traditional photogrammetry based on platforms such as satelli...

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