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This paper supposes a schema to deal with the tough task of building detection and recognition from high resolution remotely sensed imagery. It is a region-based and semi-automatic schema combining wi...
We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given oneexample of an object that appears several times in the image, e.g....
A main advantage of terrestrial laser scanning is the possibility to nearly simultaneously acquire the geometrical positions of millions of object points in 3D. However this is also the main bottle ne...
Automatic building reconstruction from LIDAR data has become a hot topic for several years. Many methods and algorithms have been put forward to reconstruct the building models, such as of flat roof, ...
Since the traditional building extraction from the common optical images is highly labor-intensive, time-consuming and very expensive. With the wide use of LIDAR System, it is possible to acquire buil...
One well established technique to construct a surface that best fits to an observed scattered point cloud is based on the Kriging methodology that uses semi-variograms. It somewhat resembles least-squ...
In Digital Terrain Models (DTM) interpolation is actually a surface fitting problem. For the estimation of heights of points with known X-Y coordinates there are many interpolation methods. Besides, t...
In this study, we present our benchmark dataset for performance evaluation of shape-from-X algorithms and a test procedure for evaluating the reconstruction results. Our aim is to support an objective...
In space resection computing,the error equations are based on the collinearity equations. Because the coordinates of the ground point and the image point all exist errors. So we use the Total Least Sq...
A method for automatic updating of building data bases from Digital Surface Models (DSM) and a normalised difference vegetation index is evaluated. The DSM can be generated from Airborne Laserscanner ...
Bayesian methods coupled with Markovian frameworks has several applications in remote sensing images processing, such as the pixel level applications like filtering, segmentation and classification, a...
Traffic-related data analysis plays an important role in urban and spatial planning. Infrared video cameras have capabilities to operate at day and night and to acquire the scene sampled with video fr...
This paper addresses the issue of extracting main and secondary road networks in dense urban areas from very high resolution (VHR, ~0.61m) satellite images. The difficulty with secondary roads lies in...
This paper describes an efficient method for detecting and modeling roof superstructures (detailed volumes present on roofs such as chimneys, dormer windows...) using only a Digital Elevation Ma...
Model-free image segmentation approaches for automatic building detection, usually fail to detect accurately building boundaries dueto shadows, occlusions and other low level misleading information. I...

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