Journal of Applied Geodesy 

About: Journal of Applied Geodesy is an academic journal published by De Gruyter. The journal publishes majorly in the area(s): GNSS applications & Computer science. It has an ISSN identifier of 1862-9016. Over the lifetime, 437 publications have been published receiving 3890 citations.

Rigorous 3D error analysis of kinematic scanning LIDAR systems

Abstract: Abstract To date, LIDAR sensors have been primarily airborne, and utilized as a fast and efficient means of collecting topographic information. As a result, in research studies and in most commercial work the accuracy of the LIDAR information is primarily obtained by examining the vertical component of LIDAR error only. However, more and more end users are using LIDAR intensity to produce planimetric feature maps, and there are also emerging ground based kinematic laser scanning systems which are mounted on a van or truck platform. For both of these uses, the traditional vertical only error analysis of the LIDAR system is inadequate when defining the overall expected accuracy of the end-product received from the system. Therefore, in order to quantify the overall 3D expected accuracy of LIDAR systems (both land and air based) a rigorous 1st order error analysis of the LIDAR georeferencing equations are undertaken. Typical error parameters are then placed into the error analysis to generate expected horizontal and vertical system accuracies for different LIDAR system configurations. Finally, the results obtained from the theoretical error analysis are independently verified using real world LIDAR data.

Monitoring of displacements with ground-based microwave interferometry: IBIS-S and IBIS-L

Abstract: Abstract One fundamental component of early warning systems for natural hazards is displacement monitoring. Spaceborne SAR Interferometry has proven to be a powerful remote sensing tool for this task. Lately new ground-based SAR instruments are available. Their application field is wide and they combine high resolution and accuracy with the classical benefits of remote sensing techniques. Here, the principles of the microwave interferometer IBIS are presented, as well as its advantages and disadvantages compared to common monitoring techniques. IBIS can be operated in two modes: IBIS-S is a microwave interferometer capable of high frequency displacement monitoring of buildings and structures (up to 200 Hz); IBIS-L is a ground-based SAR for long-term displacement monitoring of buildings and natural phenomena as landslides, glaciers, etc. Exemplary three applications are presented: the use of IBIS-S for dynamic monitoring of a chimney; the use of IBIS-L for displacement monitoring in an active quarry and the long-term operation of IBIS-L as part of a “Volcano Fast Response System” (VFRS) on an active volcano.

Boresight alignment method for mobile laser scanning systems

Abstract: Abstract Mobile laser scanning (MLS) is the latest approach towards fast and cost-efficient acquisition of 3-dimensional spatial data. Accurately evaluating the boresight alignment in MLS systems is an obvious necessity. However, recent systems available on the market may lack of suitable and efficient practical workflows on how to perform this calibration. This paper discusses an innovative method for accurately determining the boresight alignment of MLS systems by employing 3D laser scanners. Scanning objects using a 3D laser scanner operating in a 2D line-scan mode from various different runs and scan directions provides valuable scan data for determining the angular alignment between inertial measurement unit and laser scanner. Field data is presented demonstrating the final accuracy of the calibration and the high quality of the point cloud acquired during an MLS campaign.

The new gravimetric quasigeoid model KTH08 over Sweden

Abstract: The least squares modification of Stokes formula has been developed in a series of papers published in Journal of Geodesy between 1984 and 2008. It consists of a least squares (stochastic) Stokes k ...

Non-parametric segmentation of ALS point clouds using mean shift

Abstract: Abstract Segmentation is a key task in the processing of 3D point clouds as obtained from airborne laser scanners (ALS). However, most of the segmentation techniques currently employed require prior gridding of the data and thus do not respect the inherently three-dimensional geometry of more intricate structures such as power lines. By contrast, the mean shift procedure, a filtering and clustering approach which has recently found much interest in the image processing community, works directly on the original 3D point cloud; also, mean shift is a non-parametric technique (i.e., it does not depend on any geometric model assumptions) and can thus also be applied to vegetation structures. In this paper, we will give a self-contained derivation of the mean shift procedure, and discuss how it can be used to obtain a classification or segmentation of an unstructured 3D point cloud. Two application examples shall further illustrate its usefulness to ALS data processing.