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In this research different DSMs from different sources have been merged. The merging is based on a probabilistic model using a Bayesian Approach. The implemented data have been sourced from very high ...
This paper describes an algorithm in order to derive DTMs (Digital Terrain Models) from correlation DSMs (Digital Surface Models) and above-ground (buildings and vegetation) masks in dense urban areas...
This paper describes an algorithm in order to derive DTMs (Digital Terrain Models) from correlation DSMs (Digital Surface Models) and above-ground (buildings and vegetation) masks in dense urban areas...
The current status in spatial data handling can be characterized in such a way that tremendous efforts have been made to deliver more data in shorter times by using new sensors and the benefits of the...
This paper is devoted to analyze and improve a recently introduced technique that may be applied to Digital Surface Models (DSMs) produced by different sensors (Interferometric SAR, for instance, or L...
Mutual benefits can be expected from an integrated processing of elevation and image data in order to improve the quality of automatically derived valued-added data. On this background new and modifie...
The recently completed 1 second Digital Elevation Models (DEMs) for Australia are based on the 1 second Shuttle Radar Topographic Mission (SRTM) elevation data. The SRTM data was corrected by removi...

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