Soszynska, Agnieszka und Müller-Rowold, Malte und Reulke, Ralf (2018) Feasibility Study of Hyperspectral Line-Scanning Camera Imagery for Remote Sensing Purposes. IEEExplore. 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2018-11-19 - 2018-11-21, Auckland. doi: 10.1109/IVCNZ.2018.8634703. ISBN 978-1-7281-0125-5. ISSN 2151-2205.
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Offizielle URL: https://ieeexplore.ieee.org/abstract/document/8634703
Kurzfassung
Hyperspectral instruments are used to characterise (terrestrial)and planetary surfaces, oceans and the atmosphere. At present there are a number of aircraft systems and space missions. Examples are DESIS on the ISS and MERTIS as part of the planetary mission Bepi Colombo. In this work a scanning system for hyperspectral panoramas is investigated. In classical systems with spectrographs, the input aperture is a long slit whose image is distributed over a 2-D detector array so that all points along a line in the scene are scanned simultaneously. The spectral dimension is then orthogonal to the slot. There are low cost hyperspectral scanners having 2D variable spectral filters with each filter positioned perpendicular to the direction of movement or flight. The biggest challenge when using these low-cost scanners, for example for airborne applications, is the mapping of the images of the individual spectral channels to each other (co-registration). The solution to the problem is the prerequisite for using this type of hyperspectral cameras. Therefore, an investigation should focus on the process of data collection, correction and registration. To test for future applications, the camera was operated as a panorama scanner. In order to evaluate the quality, the derived results of scene classification should be described here.
elib-URL des Eintrags: | https://elib.dlr.de/132929/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||||||
Titel: | Feasibility Study of Hyperspectral Line-Scanning Camera Imagery for Remote Sensing Purposes | ||||||||||||||||
Autoren: |
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Datum: | 2018 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.1109/IVCNZ.2018.8634703 | ||||||||||||||||
Verlag: | IEEExplore | ||||||||||||||||
Name der Reihe: | 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ) | ||||||||||||||||
ISSN: | 2151-2205 | ||||||||||||||||
ISBN: | 978-1-7281-0125-5 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Cameras, Hyperspectral imaging, Detectors, Optical sensors, Adaptive optics | ||||||||||||||||
Veranstaltungstitel: | 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ) | ||||||||||||||||
Veranstaltungsort: | Auckland | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 19 November 2018 | ||||||||||||||||
Veranstaltungsende: | 21 November 2018 | ||||||||||||||||
Veranstalter : | Image and Vision Computing New Zealand | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | keine Zuordnung | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R - keine Zuordnung | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - keine Zuordnung | ||||||||||||||||
Standort: | Berlin-Adlershof | ||||||||||||||||
Institute & Einrichtungen: | Institut für Optische Sensorsysteme > Echtzeit-Datenprozessierung Institut für Optische Sensorsysteme | ||||||||||||||||
Hinterlegt von: | Soszynska, Agnieszka | ||||||||||||||||
Hinterlegt am: | 18 Dez 2019 08:39 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:36 |
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