Automatic Co-registration of Frame Hyperspectral Data from UAVs
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| Title: | Main Title: Automatic Co-registration of Frame Hyperspectral Data from UAVs |
| Description: | Abstract: During the last decade a significant amount of research and development has been focused on imaging spectrometry and a number of lightweight, with low power consumption, frame or pushbroom sensors have been designed to operate onboard Unmanned Aerial Vehicles (UAVs). For frame-type sensors the first essential step in the processing chain is to co-register all the acquired spectral bands. This is not a trivial task when the goal is efficiency and full automation. In this paper, we propose an algorithm for the automated co-registration of frame hyperspectral data. The operated wavelength is divided in an appropriate number of spectral groups. Then the co-registration of all the spectral bands of each group is performed. In particular, for each group the spectral band with the broader spectral variation is used as the reference for all the other ones. In a similar manner, but taking into account both the spectral variation and the proximity of each spectral band, the appropriate bands are selected for the co-registration of each group. We narrow effectively the search space of solutions by selecting with an unsupervised manner the spectral bands which can lead quickly to the solution. The developed algorithm has been evaluated both qualitatively and quantitative over agricultural fields which in contrast to urban areas their smooth terrain structure and texture impede the performance of local descriptors. Experimental results and the overall validation indicate the effectiveness of the developed algorithm. |
| Identifier: | 10.5880/TR32DB.KGA94.13 (DOI) |
Responsible Party
| Creators: | Maria Vakalopoulou (Author), Konstantinos Karantzalos (Author) |
| Contributors: | Juliane Bendig (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2014 |
Topic
| Subjects: | Keywords: Remote Sensing, Sensor, UAV, Hyperspectral DDC: 550 Earth sciences |
File Details
| Filename: | Vakalopoulou_and_Karantzalos_2013_KGA94.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 6 Pages 1159 Kilobytes |
| File Size: | 1.1 MB |
| Date: | Issued: 14.04.2014 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 17.04.2014 |
| Metadata Last Updated: | 17.04.2014 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 748 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 67 |
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
