Molina García, Víctor und Sasi, Sruthy und Efremenko, Dmitry S. und Loyola, Diego (2019) Improvement of EPIC/DSCOVR Image Registration by Means of Automatic Coastline Detection. Remote Sensing, 11 (15), Seiten 1-16. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs11151747. ISSN 2072-4292.
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Offizielle URL: https://www.mdpi.com/2072-4292/11/15/1747
Kurzfassung
In this work, we address the image geolocation issue that is present in the imagery of EPIC/DSCOVR (Earth Polychromatic Imaging Camera/Deep Space Climate Observatory) Level 1B version 2. To solve it, we develop an algorithm that automatically computes a registration correction consisting of a motion (translation plus rotation) and a radial distortion. The correction parameters are retrieved for every image by means of a regularised non-linear optimisation process, in which the spatial distances between the theoretical and actual locations of chosen features are minimised. The actual features are found along the coastlines automatically by using computer vision techniques. The retrieved correction parameters show a behaviour that is related to the period of DSCOVR orbiting around the Lagrangian point L1. With this procedure, the EPIC coastlines are collocated with an accuracy of about 1.5 pixels, thus significantly improving the original registration of about 5 pixels from the imagery of EPIC/DSCOVR Level 1B version 2.
elib-URL des Eintrags: | https://elib.dlr.de/128748/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Titel: | Improvement of EPIC/DSCOVR Image Registration by Means of Automatic Coastline Detection | ||||||||||||||||||||
Autoren: |
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Datum: | 25 Juli 2019 | ||||||||||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
Band: | 11 | ||||||||||||||||||||
DOI: | 10.3390/rs11151747 | ||||||||||||||||||||
Seitenbereich: | Seiten 1-16 | ||||||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | EPIC; registration; geolocation; computer vision; regularisation | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Atmosphären- und Klimaforschung | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Atmosphärenprozessoren | ||||||||||||||||||||
Hinterlegt von: | Molina García, Víctor | ||||||||||||||||||||
Hinterlegt am: | 13 Aug 2019 10:39 | ||||||||||||||||||||
Letzte Änderung: | 31 Okt 2023 14:07 |
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