Jangir, Sandeep Kumar und Bahmanyar, Reza (2023) Enhancing Very High-Resolution Satellite Images At 15 cm: A Novel Pipeline With Synthetic Data and Single Image Super Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 2670 -2689. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2023.3346181. ISSN 1939-1404.
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Offizielle URL: https://ieeexplore.ieee.org/document/10372096
Kurzfassung
Employing a two-step pipeline that encompasses an image-to-image translation and a superresolution (SR) network, we significantly enhance satellite images with a ground sample distance (GSD) of 30 cm to a superior 15 cm GSD. Our translation network learns from the characteristics of satellite images and replicates these onto aerial images with a GSD of 15 cm, creating a tailored training dataset. The SR network then uses this dataset to train and render enhanced satellite images at a GSD of 15 cm. This innovative approach can provide a cost-effective substitute for commercial high-definition images, and broadens the usage of high-quality data across various applications.
elib-URL des Eintrags: | https://elib.dlr.de/202089/ | ||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
Titel: | Enhancing Very High-Resolution Satellite Images At 15 cm: A Novel Pipeline With Synthetic Data and Single Image Super Resolution | ||||||||||||
Autoren: |
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Datum: | 22 Dezember 2023 | ||||||||||||
Erschienen in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Ja | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Ja | ||||||||||||
Band: | 17 | ||||||||||||
DOI: | 10.1109/JSTARS.2023.3346181 | ||||||||||||
Seitenbereich: | 2670 -2689 | ||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||
ISSN: | 1939-1404 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | 15 cm ground sample distance (GSD), aerial and satellite image enhancement, image-to-image (I2I) translation, Super Resolution (SR) | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Verkehr | ||||||||||||
HGF - Programmthema: | Straßenverkehr | ||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||
DLR - Forschungsgebiet: | V ST Straßenverkehr | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||
Hinterlegt von: | Jangir, Sandeep Kumar | ||||||||||||
Hinterlegt am: | 17 Jan 2024 10:29 | ||||||||||||
Letzte Änderung: | 19 Jan 2024 07:15 |
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