DETECTION OF SLOPE MOVEMENT BY COMPARING POINT CLOUDS CREATED BY SFM SOFTWARE [PDF]
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
doaj +1 more source
CHANGE DETECTION IN PHOTOGRAMMETRIC POINT CLOUDS FOR MONITORING OF ALPINE, GRAVITATIONAL MASS MOVEMENTS [PDF]
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
doaj +1 more source
Tree cover change detection through Artificial Neural Network classification using Landsat TM and ETM+ images (case study: Golestan Province, Iran) [PDF]
The aim of this research was to detect tree cover changes through Artificial Neural Network classification and post-classification comparison methods using landsat TM and ETM+ images in Golestan province, north of Iran with area of 20437.74 ha. Land uses
Abdorrasool Salman Mahini +3 more
doaj
RESEARCH ON EVALUATION METHOD OF AIRBORNE LIDAR POSITIONING ACCURACY [PDF]
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
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.).
openaire +1 more source
PRODUCT ACCURACY EFFECT OF OBLIQUE AND VERTICAL NON-METRIC DIGITAL CAMERA UTILIZATION IN UAV-PHOTOGRAMMETRY TO DETERMINE FAULT PLANE [PDF]
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
Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching [PDF]
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
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ASSESSMENT OF THE PROPERTIES OF ASPHALT MODIFIED WITH USED TIRES [PDF]
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
PRECISION ANALYSIS OF POINT-AND-SCALE PHOTOGRAMMETRIC MEASUREMENTS FOR CORRIDOR MAPPING: PRELIMINARY RESULTS [PDF]
This paper addresses the key aspects of the sensor orientation and calibration approach within the mapKITE concept for corridor mapping, focusing on the contribution analysis of point-and-scale measurements of kinematic ground control points.
P. Molina +3 more
doaj +1 more source
Automated Ground Control Point Identification using Deep Learning Techniques
Ground Control Points (GCPs) play a crucial role in photogrammetry, providing essential information for georeferencing, registration and scaling of aerial and satellite imagery. These reference points, with known coordinates, are strategically placed and precisely measured on the ground to achieve accurate georeferencing in the photogrammetric process.
Blanch Gorriz, Xabier +5 more
openaire +3 more sources

