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This paper proposes an automatic approach for residential areas revision by means of analysing the correlation between the residential area and the topographic and geographical factors. The approach c...
Automatic image registration is a vital yet challenging task, particularly for multi-sensor remote sensing images. Given the diversity of the data, it is unlikely that a single registration algorithm ...
Topographic mapping, e.g. the generation of Digital Elevation Models (DEM), is of general interest to the remote sensing community and scientific research. Commonly, photogrammetric methods, e.g. ster...
LIDAR sensors are widely used in mobile mapping systems. The mobile mapping platforms allow to have fast acquisition in cities for example, which would take much longer with static mapping systems. Th...
Building roof contours are considered as very important geometric data, which have been widely applied in many fields, including but not limited to urban planning, land investigation, change detection...
Digital elevation models (DEM) of high resolution and high quality are required for many applications like urban modeling, readiness for catastrophes or disaster assessment. A good source for the de...
In this paper, a methodology is proposed for the geometric refinement of LiDAR building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology...
The California Seismic Hazards Mapping Act of 1990 directs the California Geological Survey (CGS) to delineate seismic hazard zones of required investigation for earthquake-induced ground failures - ...
The refinement of the features extracted from image data is a key issue in automated building extraction since feature extraction algorithms often result in incomplete features. This paper describes a...
In this paper we present a voxel-based object reconstruction technique to compute photo realistic volume models of real world objects from multiple color images. The 3D object acquisition is performe...
This work presents a combined bottom-up and top-down approach to extraction and refinement of building footprints from airborne LIDAR data. Building footprints are interesting for many applications ...
One of the tasks of ISFEREA action at the Joint Research Center (JRC) in Ispra, Italy, is to assess changes in land cover after natural disasters using satellite imagery. To describe the pre-event a...

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