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Cloud Removal from Sentinel-2 Image Time Series through Sparse Reconstruction from Random Samples

Cerra, Daniele and Bieniarz, Jakub and Müller, Rupert and Reinartz, Peter (2016) Cloud Removal from Sentinel-2 Image Time Series through Sparse Reconstruction from Random Samples. In: XXII ISPRS Congress, Technical Commission III (XLI-B3), pp. 469-473. ISPRS Archive. ISPRS 2016, 12.-19. Juli 2016, Prag, Tschechien. DOI: 10.5194/isprs-archives-XLI-B3-469-2016

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/469/2016/


In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose, a clouds and clouds shadow mask must be given. With respect to previous works, the process has an increased automation degree. Several dictionaries, on the basis of which the data are reconstructed, are selected randomly from cloud-free areas around the cloud, and for each pixel the dictionary yielding the smallest reconstruction error in non-corrupted images is chosen for the restoration. The values below a cloudy area are therefore estimated by observing the spectral evolution in time of the non-corrupted pixels around it. The proposed restoration algorithm is fast and efficient, requires minimal supervision and yield results with low overall radiometric and spectral distortions.

Item URL in elib:https://elib.dlr.de/105144/
Document Type:Conference or Workshop Item (Poster)
Title:Cloud Removal from Sentinel-2 Image Time Series through Sparse Reconstruction from Random Samples
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cerra, Danieledaniele.cerra (at) dlr.dehttps://orcid.org/0000-0003-2984-8315
Bieniarz, Jakubjakub.bieniarz (at) dlr.deUNSPECIFIED
Müller, Rupertrupert.mueller (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:July 2016
Journal or Publication Title:XXII ISPRS Congress, Technical Commission III
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.5194/isprs-archives-XLI-B3-469-2016
Page Range:pp. 469-473
Publisher:ISPRS Archive
Keywords:Sentinel-2, Clouds, Image Time Series, Image processing, Pre-processing.
Event Title:ISPRS 2016
Event Location:Prag, Tschechien
Event Type:international Conference
Event Dates:12.-19. Juli 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Cerra, Daniele
Deposited On:11 Jul 2016 16:17
Last Modified:31 Jul 2019 20:02

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