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The paper presents a new segmentation algorithm, to be applied to terrestrial lasers scans of urban environments. The algorithm works directly in a range image. This is the fundamental laser scan data...
Within the paper, the combined application of terrestrial image and LIDAR data for facade reconstruction is discussed. Existing 3D building models as they are available from airborne data collection a...
In order to avoid the time-consuming trial-and-error practice for seeking significant features for optimal class separation in object-based classification, an automatic feature extraction methodology,...
The U.S. Army and other Department of Defense (DoD) combat and combat support agencies requires automated feature extraction (AFE) software for collecting very high-resolution 3D urban features from t...
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...
The developments in the remote sensing technology have provided the use of high-resolution images for different purposes if possible. These images can be used for a study such as town planning where h...
Basic research is being performed by a team composed of specialists in photogrammetry, spatial image analysis, remote sensing, computer vision, and visualization, for the purpose of efficiently extrac...
This paper describes an approach to the extraction and classification of linear features from imagery using an objectoriented data model as a framework to store contextual knowledge. The work reported...
An efficient semi-automatic feature extraction technique that integrates the principles of the active contour models (Kass et al 1988) with simulated annealing (Kirkpatrik et al 1983) is proposed in t...
Recent years have seen significant improvements in the performance of automatic cartographic feature extraction (CFE) systems. Early systems, painstakingly tweaked to work in a very limited fashion on...
This work uses the canopy height model (CHM) based workflow for individual tree crown delineation and 3D feature extraction approach (Overwatch Geospatial's proprietary algorithm) for building feature...
Evolutionary computation is used for improved information extraction from high-resolution satellite imagery. The utilization of evolutionary computation is based on stochastic selection of input param...
This paper combine two conventional feature extraction methods (NWFE&NPE) in a novel framework and present a new semi-supervised feature extraction method called Adjusted Semi supervised Discriminant ...
In remote sensing images, the existence of the clouds has a great impact on the image quality and subsequent image processing, as the images covered with clouds contain little useful information. The...
Hyperspectral images, which contain rich and fine spectral information, can be used to identify surface objects and improve land use/cover classification accuracy. Due to the property of high dimensio...

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