Cerra, Daniele und Bieniarz, Jakub und Beyer, Florian und Tian, Jiaojiao und Müller, Rupert und Jarmer, Thomas und Reinartz, Peter (2016) Cloud Removal in Image Time Series through Sparse Reconstruction from Random Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (8), Seiten 3615-3628. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2016.2550084. ISSN 1939-1404.
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Offizielle URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7457226
Kurzfassung
In this paper we propose a cloud removal algorithm for scenes within a satellite image time series based on synthetisation of the affected areas via sparse reconstruction. The high dimensionality of time series allows applying pixel-based sparse reconstruction techniques efficiently, estimating the values below a cloudy area by observing the spectral evolution in time of pixels in cloud-free areas. The process implicitly compensates the overall atmospheric interactions affecting a given image, and it is possible even if only one acquisition is available for a given period of time. The sparsifying basis is selected randomly from the time series in order to achieve a semi-automatic workflow, if the area containing clouds and their shadows is given. Favourable comparisons with the state of the art and application to supervised classification and change detection show that the proposed algorithm restores images locally contaminated by clouds and their shadows in a fast and efficient way.
elib-URL des Eintrags: | https://elib.dlr.de/100309/ | ||||||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||||||
Titel: | Cloud Removal in Image Time Series through Sparse Reconstruction from Random Measurements | ||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | 2016 | ||||||||||||||||||||||||||||||||
Erschienen in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | ||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||||||
Band: | 9 | ||||||||||||||||||||||||||||||||
DOI: | 10.1109/JSTARS.2016.2550084 | ||||||||||||||||||||||||||||||||
Seitenbereich: | Seiten 3615-3628 | ||||||||||||||||||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||||||||||
ISSN: | 1939-1404 | ||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||
Stichwörter: | Clouds, image time series, SITS, declouding, image restoration, image processing, hyperspectral | ||||||||||||||||||||||||||||||||
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 - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||||||||||||||||||
Hinterlegt von: | Cerra, Daniele | ||||||||||||||||||||||||||||||||
Hinterlegt am: | 02 Dez 2015 17:23 | ||||||||||||||||||||||||||||||||
Letzte Änderung: | 27 Nov 2023 12:41 |
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