TY  - JOUR
AU  - Pandzić, Jelena
AU  - Pejić, Marko
AU  - Božić, Branko
AU  - Erić, Verica
PY  - 2017
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/843
AB  - Processing of raw point cloud data obtained as a result of terrestrial laser scanning (TLS) sometimes involves georeferencing, i.e. transformation of point cloud data to an external coordinate system. This paper focuses on defining the error model of point positions obtained through a "station-orientation" procedure of direct georeferencing. The original error model presented by the authors relevant in this field is partly altered. All modifications are explained in detail within the paper and the reported model is statistically verified based on the carefully conducted experiment using Leica ScanStation P20 scanner. The obtained values of the uncertainty measures of direct georeferencing Which are of a few millimetre magnitude prove that this procedure can be efficiently used for planning and carrying out even more demanding surveying tasks, including those during monitoring and maintenance of constructed facilities. Additionally, traversing capabilities of terrestrial laser scanners tightly connected with direct georeferencing should contribute to mass introduction of laser scanning into the construction industry thanks to its similarities to the highly automated procedures of polar surveying and traversing which are traditionally employed among surveyors.
PB  - Elsevier B.V.
T2  - Automation in Construction
T1  - Error model of direct georeferencing procedure of terrestrial laser scanning
EP  - 23
SP  - 13
VL  - 78
DO  - 10.1016/j.autcon.2017.01.003
ER  - 

@article{
author = "Pandzić, Jelena and Pejić, Marko and Božić, Branko and Erić, Verica",
year = "2017",
abstract = "Processing of raw point cloud data obtained as a result of terrestrial laser scanning (TLS) sometimes involves georeferencing, i.e. transformation of point cloud data to an external coordinate system. This paper focuses on defining the error model of point positions obtained through a "station-orientation" procedure of direct georeferencing. The original error model presented by the authors relevant in this field is partly altered. All modifications are explained in detail within the paper and the reported model is statistically verified based on the carefully conducted experiment using Leica ScanStation P20 scanner. The obtained values of the uncertainty measures of direct georeferencing Which are of a few millimetre magnitude prove that this procedure can be efficiently used for planning and carrying out even more demanding surveying tasks, including those during monitoring and maintenance of constructed facilities. Additionally, traversing capabilities of terrestrial laser scanners tightly connected with direct georeferencing should contribute to mass introduction of laser scanning into the construction industry thanks to its similarities to the highly automated procedures of polar surveying and traversing which are traditionally employed among surveyors.",
publisher = "Elsevier B.V.",
journal = "Automation in Construction",
title = "Error model of direct georeferencing procedure of terrestrial laser scanning",
pages = "23-13",
volume = "78",
doi = "10.1016/j.autcon.2017.01.003"
}

Pandzić, J., Pejić, M., Božić, B.,& Erić, V.. (2017). Error model of direct georeferencing procedure of terrestrial laser scanning. in Automation in Construction
Elsevier B.V.., 78, 13-23.
https://doi.org/10.1016/j.autcon.2017.01.003

Pandzić J, Pejić M, Božić B, Erić V. Error model of direct georeferencing procedure of terrestrial laser scanning. in Automation in Construction. 2017;78:13-23.
doi:10.1016/j.autcon.2017.01.003 .

Pandzić, Jelena, Pejić, Marko, Božić, Branko, Erić, Verica, "Error model of direct georeferencing procedure of terrestrial laser scanning" in Automation in Construction, 78 (2017):13-23,
https://doi.org/10.1016/j.autcon.2017.01.003 . .

TY  - CONF
AU  - Pandzić, M.
AU  - Mihajlović, Dragan
AU  - Pandzić, Jelena
AU  - Pfeifer, N.
PY  - 2016
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/803
AB  - High resolution (10 m and 20 m) optical imagery satellite Sentinel-2 brings a new perspective to Earth observation. Its frequent revisit time enables monitoring the Earth surface with high reliability. Since Sentinel-2 data is provided free of charge by the European Space Agency, its mass use for variety of purposes is expected. Quality evaluation of Sentinel-2 data is thus necessary. Quality analysis in this experiment is based on comparison of Sentinel-2 imagery with reference data (orthophoto). From the possible set of features to compare (point features, texture lines, objects, etc.) line segments were chosen because visual analysis suggested that scale differences matter least for these features. The experiment was thus designed to compare long line segments (e.g. airstrips, roads, etc.) in both datasets as the most representative entities. Edge detection was applied to both images and corresponding edges were manually selected. The statistical parameter which describes the geometrical relation between different images (and between datasets in general) covering the same area is calculated as the distance between corresponding curves in two datasets. The experiment was conducted for two different test sites, Austria and Serbia. From 21 lines with a total length of ca. 120 km the average offset of 6.031 m (0.60 pixel of Sentinel-2) was obtained for Austria, whereas for Serbia the average offset of 12.720 m (1.27 pixel of Sentinel-2) was obtained out of 10 lines with a total length of ca. 38 km.
PB  - International Society for Photogrammetry and Remote Sensing,
C3  - XXIII ISPRS Congress, Commission I
T1  - Assessment of the geometric quality of sentinel-2 data
EP  - 494
IS  - B1
SP  - 489
VL  - 41
DO  - 10.5194/isprsarchives-XLI-B1-489-2016
ER  - 

@conference{
author = "Pandzić, M. and Mihajlović, Dragan and Pandzić, Jelena and Pfeifer, N.",
year = "2016",
abstract = "High resolution (10 m and 20 m) optical imagery satellite Sentinel-2 brings a new perspective to Earth observation. Its frequent revisit time enables monitoring the Earth surface with high reliability. Since Sentinel-2 data is provided free of charge by the European Space Agency, its mass use for variety of purposes is expected. Quality evaluation of Sentinel-2 data is thus necessary. Quality analysis in this experiment is based on comparison of Sentinel-2 imagery with reference data (orthophoto). From the possible set of features to compare (point features, texture lines, objects, etc.) line segments were chosen because visual analysis suggested that scale differences matter least for these features. The experiment was thus designed to compare long line segments (e.g. airstrips, roads, etc.) in both datasets as the most representative entities. Edge detection was applied to both images and corresponding edges were manually selected. The statistical parameter which describes the geometrical relation between different images (and between datasets in general) covering the same area is calculated as the distance between corresponding curves in two datasets. The experiment was conducted for two different test sites, Austria and Serbia. From 21 lines with a total length of ca. 120 km the average offset of 6.031 m (0.60 pixel of Sentinel-2) was obtained for Austria, whereas for Serbia the average offset of 12.720 m (1.27 pixel of Sentinel-2) was obtained out of 10 lines with a total length of ca. 38 km.",
publisher = "International Society for Photogrammetry and Remote Sensing,",
journal = "XXIII ISPRS Congress, Commission I",
title = "Assessment of the geometric quality of sentinel-2 data",
pages = "494-489",
number = "B1",
volume = "41",
doi = "10.5194/isprsarchives-XLI-B1-489-2016"
}

Pandzić, M., Mihajlović, D., Pandzić, J.,& Pfeifer, N.. (2016). Assessment of the geometric quality of sentinel-2 data. in XXIII ISPRS Congress, Commission I
International Society for Photogrammetry and Remote Sensing,., 41(B1), 489-494.
https://doi.org/10.5194/isprsarchives-XLI-B1-489-2016

Pandzić M, Mihajlović D, Pandzić J, Pfeifer N. Assessment of the geometric quality of sentinel-2 data. in XXIII ISPRS Congress, Commission I. 2016;41(B1):489-494.
doi:10.5194/isprsarchives-XLI-B1-489-2016 .

Pandzić, M., Mihajlović, Dragan, Pandzić, Jelena, Pfeifer, N., "Assessment of the geometric quality of sentinel-2 data" in XXIII ISPRS Congress, Commission I, 41, no. B1 (2016):489-494,
https://doi.org/10.5194/isprsarchives-XLI-B1-489-2016 . .