The demand for accurate and up-to-date spatial information is increasing and its availability is becoming more important for a variety of tasks. Today's commercial high-resolution satellite imagery (HRSI) offers the potential to... more
The demand for accurate and up-to-date spatial information is increasing and its availability is becoming more important for a variety of tasks. Today's commercial high-resolution satellite imagery (HRSI) offers the potential to extract useful and accurate spatial information for a wide variety of mapping and GIS applications. The extraction of metric information from images is possible due to suitable sensor
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Image Processing, Image Analysis, Information Extraction, Spatial Information, Satellite Imagery, and 9 moreBuilding Detection and Extraction, Digital Elevation Model, Satellite Data, High Resolution, Three Dimensional, Aerial Imagery, High Resolution Satellite Imagery, Rational Polynomial Coefficient, and Software Package
Monoplotting is a well‐known photogrammetric technique for extracting 3D spatial information from single aerial imagery of terrain described by a digital elevation model. The method also offers potential for single‐image analysis of... more
Monoplotting is a well‐known photogrammetric technique for extracting 3D spatial information from single aerial imagery of terrain described by a digital elevation model. The method also offers potential for single‐image analysis of high‐resolution satellite imagery (HRSI). This paper investigates the prospects of single IKONOS and QuickBird images for 3D feature pointcollection and the generation of 3D building models. The implementation
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In many augmented reality applications, in particular in the medical and industrial domains, knowledge about tracking errors is important. Most current approaches characterize tracking errors by 6×6 covariance matrices that describe the... more
In many augmented reality applications, in particular in the medical and industrial domains, knowledge about tracking errors is important. Most current approaches characterize tracking errors by 6×6 covariance matrices that describe the uncertainty of a 6DOF pose, where the center of rotational error lies in the origin of a target coordinate system. This origin is assumed to coincide with the
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A new generic pushbroom sensor model for high-resolution satellite images is presented. The sensor orbit and attitudes are modelled by splines. In order to determine the parameters of the orbit and attitude splines, direct observations... more
A new generic pushbroom sensor model for high-resolution satellite images is presented. The sensor orbit and attitudes are modelled by splines. In order to determine the parameters of the orbit and attitude splines, direct observations for the satellite orbits and attitudes that are provided by the data vendors in metadata files are considered. As these direct observations are usually contaminated by systematic errors, the pushbroom sensor model also requires a correction model for these systematic errors. Unfortunately, the definitions of file formats and model parameters provided by the vendors are usually different and sometimes not compatible with a sensor model based on a perspective transformation. Our new sensor model is designed to be applicable to a large variety of sensors. Vendor-specific definitions are mapped to the definitions of our sensor model during data import. A rigorous model is employed for compensating systematic errors in the orbit and attitude data. In this ...