Results 31 to 40 of about 364,378 (309)
CHANGE DETECTION IN PHOTOGRAMMETRIC POINT CLOUDS FOR MONITORING OF ALPINE, GRAVITATIONAL MASS MOVEMENTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 This contribution discusses the accuracy and the applicability of Photogrammetric point clouds based on dense image matching for the monitoring of gravitational mass movements caused by crevices.
A. Dinkel +4 more
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SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point
Remote Sensing, 2020 Interferometric baseline estimation is a key procedure of interferometric synthetic aperture radar (SAR) data processing. The error of the interferometric baseline affects not only the removal of the flat-earth phase, but also the transformation ...
Bing Xu +4 more
doaj +1 more source
DETECTION OF SLOPE MOVEMENT BY COMPARING POINT CLOUDS CREATED BY SFM SOFTWARE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper proposes movement detection method between point clouds created by SFM software, without setting any onsite georeferenced points. SfM software, like Smart3DCaputure, PhotoScan, and Pix4D, are convenient for non-professional operator of ...
K. Oda, S. Hattori, T. Takayama
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INS-camera calibration without ground control points [PDF]
2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014 In this paper we present an approach for performing system calibration of a sensor suite consisting of a fixed mounted camera and an inertial navigation system without the usage of a photogrammetric calibration site. The aim of the presented work is to obtain accurate direct georeferencing of camera images collected with manned or unmanned aerial ...
Daniel Bender +3 more
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Potential for Resurs DK-1 satellite data
Geodesy and Cartography, 2012 The result of the research project funded by the Polish Ministry of Science and Higher Education is presented. The main aim of the project was the assessment of the new Russian satellite data for orthophoto generation.
Ireneusz Ewiak, Romuald Kaczynski
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RESEARCH ON EVALUATION METHOD OF AIRBORNE LIDAR POSITIONING ACCURACY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Due to the semi-random characteristics of ground points collected by airborne LIDAR system, it is difficult to control the laser pin points to fall on the control points with known coordinates in actual measurement, so the accuracy can not be evaluated ...
Y. Zhang +9 more
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Accuracy of UAV-based DEMs without ground control points
GeoInformatica, 2023 AbstractUnmanned aerial vehicles (UAVs) are increasingly used in various environmental research projects and other activities that require accurate topography images. The quality of elevation models derived from UAV measurements varies depending on many variables (e.g. UAV equipment used, terrain conditions, etc.).
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PRODUCT ACCURACY EFFECT OF OBLIQUE AND VERTICAL NON-METRIC DIGITAL CAMERA UTILIZATION IN UAV-PHOTOGRAMMETRY TO DETERMINE FAULT PLANE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This study aims to see the effect of non-metric oblique and vertical camera combination along with the configuration of the ground control points to improve the precision and accuracy in UAV-Photogrammetry project.
C. Amrullah, D. Suwardhi, I. Meilano
doaj +1 more source
ASSESSMENT OF THE PROPERTIES OF ASPHALT MODIFIED WITH USED TIRES [PDF]
Civil Engineering Journal, 2017 This study investigates the properties of asphalt mix modified with ground tire. The ground tire was introduced into the asphalt in a melted form at varying percentages of 2%, 4%, 6%, 8% and 10% by weight of the asphalt.
Olufikayo Aderinlewo
doaj +1 more source
Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 While machine learning has been instrumental to the ongoing progress in most areas of computer vision, it has not been applied to the problem of stereo matching with similar frequency or success. We present a supervised learning approach for predicting the correctness of stereo matches based on a random forest and a set of features that capture various
Spyropoulos, Aristotle +2 more
openaire +2 more sources