Projects / Programmes
The possibilities of combined usage of lidar and archive non-metric images
| Code |
Science |
Field |
Subfield |
| 2.17.00 |
Engineering sciences and technologies |
Geodesy |
|
| Code |
Science |
Field |
| T181 |
Technological sciences |
Remote sensing |
| Code |
Science |
Field |
| 2.11 |
Engineering and Technology |
Other engineering and technologies |
lidar, laser scanning, close range photogrammetry, accuracy, precision, archive non-metric images, image calibration
Researchers (1)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
23564 |
PhD Mihaela Triglav Čekada |
Geodesy |
Head |
2011 - 2013 |
0 |
Organisations (1)
| no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
| 1. |
0246 |
Geodetic Institute of Slovenia |
Ljubljana |
5051649000 |
0 |
Abstract
In archives around the world there is stored a large quantity of archive non-metric imagery which could assist in studying old topographies: the cause and course of natural disasters (e.g. floods and landslides), the cultural heritage monitoring (e.g. settlement growth and development of old city centers) and natural heritage monitoring (e.g. glacier change monitoring, gorge geomorphology change monitoring). Currently available methods for archive non-metric imagery processing for metric data extraction do not give very accurate results. Therefore the purpose of this project is to introduce a novel approach of combined usage of current high-quality lidar (aerial laser scanning) and low-quality archive non-metric imagery for metric data extraction from archive non-metric imagery. Therefore, I will try to prove the following research hypothesis: “Lidar data and archive non-metric imagery can be processed together and this increases the accuracy of data extraction from the archive non-metric imagery.”
To evaluate how accurate results can be expected from a combined usage of lidar and archive metric imagery we first need to develop a simplified error model of combined usage of lidar and archive non-metric imagery. It will be derived from lidar error models, from Mobile mapping error models and archive imagery data processing error models. This simplified error model of combined usage of lidar and archive non-metric imagery will enable a-priori error estimation of metric data acquisition for combined usage of different lidar and different archive imagery datasets. This will enable easier decisions what kind of data we need to search for, when studying the above mentioned different old topographies.
Additionally I analyze check the results of theoretical error estimations on real data examples of combined usage of lidar and archive imagery, which will be defined in the project. Real data examples will also be used to verify the metric data extraction procedures for combined usage of lidar and archive imagery. Furthermore, the control field measurements will be conducted to verify the accuracy of such 2D or 3D data extraction and to derive the correlation factor between the analytical simplified error model of combined usage of lidar and archive imagery and test results.
The postdoctoral project has the following phases:
Study and analysis of different sources describing lidar, Mobile mapping systems and archive imagery
Development of a simplified error model of combined usage of lidar and archive imagery
Definition of test examples and test data
Processing the data of test examples of combined usage of lidar and archive imagery
Control field measurements
Dissemination of the results
Following the recommendations for combined usage of lidar and archive non-metric imagery and scientific papers written in the last phase of the project, the results of this project will be available to different research communities, which could benefit from such data combination, in Slovenia and abroad. Scientific and professional papers in international journals will also be written, to enable the dissemination of results to international research communities of photogrammetry and remote sensing.
Significance for science
With this project I have: • introduced the possibility how to acquire data out of non-metrical images from different volunteers in the tame of floods (volunteered images – which can be counted under the volunteered geographical information) • made the comparison between data acquired out of volunteered images or satellite images • introduced the possibility how to use images with non-neglible distortions (unknown inner orientation parameters) with the help of detailed digital terrain model. In this procedure the distortion parameters are introduced on the backprojection of digital terrain model points on the content of the image. • introduced the possibility how to use different archive images from older books. Such images may even not present the whole photograph. But with the methodology introduced we may use such images for data acquisition. The results of this project are important not only for photogrammetry or broader field of remote sensing but also for all related sciences, dealing with the long-term monitoring of natural disasters, geomorphological phenomena, glacial phenomena as well as other changes in the area. Detailed lidar or photogrammetric digital terrain model, which are available for the whole of Slovenia, enable the developed methodology can be used for any part of Slovenia and for different changes in the space.
Significance for the country
The results that may be obtained from the combined use of detailed digital terrain models and archive images or other non-metrical images can serve: - in examining the long-term changes in space, in the research of the effects of spatial planning policies on the space - obtained flooded areas can serve for the design of flood preventive measures (such as e.g. antiflood dykes), civil protection actions, spatial planning - for the presentation and awareness-raising of the population on climate change consequences and the impact of these changes on natural heritage as very small Alpine glaciers - examination of the fallen or otherwise destroyed buildings or parts of settlements, which are defined as cultural monuments, from archival images
Most important scientific results
Annual report
2011,
2012,
final report,
complete report on dLib.si
Most important socioeconomically and culturally relevant results
Annual report
2012,
final report,
complete report on dLib.si
