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Corrugated roof sheets used for large-scale industrial rooftops have the potential to carry solar panels. The sheets, however, need to be surveyed so that the solar panels can be installed according t...
Recent developments of optical space sensors enable us to use high resolution space images for topographic mapping. Geometric and radiometric resolution are the major factors for identification of o...
Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better...
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...
Feature Analyst is a commercial feature extraction software system that leverages multiple object recognition attributes,using semi-automated to automated workflows, to accelerate the collection of fe...
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...
Laser scanning is playing an important role in an acquisition of the 3D spatial objects in urban because of real-time and high efficiency than traditional methods. The research presented in this pape...
The extraction of texture features from high resolution remote sensing imagery provides a complementary source of data for those applications in which the spectral information is not sufficient for i...
The paper highlights approaches to reference data acquisition in real environments for the purpose of performance evaluation of image analysis procedures. Reference data for the input and for the out...
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...

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