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InSAR technique is an important method for large area DEM extraction. Several factors have significant influence on the accuracy of height measurement. In this research, the effect of slant range meas...
In urban canyon where the GNSS signals are blocked by buildings, the accuracy of measured position significantly deteriorates. GIS databases have been frequently utilized to improve the accuracy of me...
The random error pattern of point clouds has significant effect on the quality of final 3D model. The magnitude and distribution of random errors should be modelled numerically. This work aims at deve...
This paper tackles the first step of any strategy aiming to improve the trajectory of terrestrial mobile mapping systems in urban environments. We present an approach to model the error of terrestrial...
The low frequency error is a key factor which has affected uncontrolled geometry processing accuracy of the high-resolution optical image. To guarantee the geometric quality of imagery, this paper pre...
Traditionally, RMSE is used to represent the positional error of GIS features including point, linear and area features. Although RMSE can reflect the error of point features effectively and accuratel...
In the Kalman filter used for the integration of GPS/INS, the inertial sensor error model is usually considered as a random constant or random walk for both gyroscopes and accelerometers. However, th...
High spatial resolution and fast capturing possibilities make 3D terrestrial laser scanners widely used in engineering applications and cultural heritage recording. Phase based laser scanners can mea...
In this publication, the concept of image coordinate RMS error derived from average object side RMS is introduced. In the course of derivation, data on network geometry and redundancy were taken into...
As an ubiquitous statistical theory, Gaussian Distribution (GD) or Gaussian Error Propagation Law (GEPL) has been widely used for modelling random errors in many engineering and application fields sin...
In this paper, a three-dimensional error model of grid digital elevation model (DEM) is proposed based on the reconstructed contours. Though analyzing the construction of three-dimensional error model...
A spatial error may refer to the difference between a measured value and the “true” value or the estimated uncertainty with respect to a given observation or set of observations which is the error con...
This paper adopts the stochastic simulation method that pertains to geostatistics, on the basis of simulated DEM realizations with spatial autocorrelation errors, to explore the error propagation mech...
As an important way to obtain the high-resolution remote sensing images, the unmanned aerial vehicle (UAV) aviation remote sensing plays a more and more important role in the area of photogrammetry an...
The rigorous geometric model which depends on physical properties of the image acquisition is the basic model for object positioning of high resolution satellite imagery (HRSI). Using the linear and a...

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