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Cloud removal in high resolution multispectral satellite imagery: comparing three approaches

Adam, Fathalrahman and Mönks, Milena and Esch, Thomas and Datcu, Mihai (2018) Cloud removal in high resolution multispectral satellite imagery: comparing three approaches. MDPI. The 2nd international electronic conference on remote sensing, 22.03.-05.04.2018, Online.

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Official URL: http://sciforum.net/conference/ecrs-2

Abstract

Clouds and cloud-shadow are a persistent problem in all optical satellite imagery. Plenty of methods have been suggested in the literature to address this problem, and reconstruct the missing part of the optical signal. In this work, three methods representative of different approaches to the cloud removal problem are compared. The first method is temporal fitting using Fourier series, which benefits from the temporal continuity of the signal. The second method uses sparse spectral unmixing to fill in the missing areas. The third method employs radiometric consistency as a tool to determine the missing part of the optical signal. These three methods are first presented and their theoretical background described, followed by a discussion of their implied assumptions, general performance, and failure modes. A set of experiments using Landsat 8 time series with diverse land cover types were conducted. The quantitative results of the three methods using simulated clouds as well as real ones are presented. Finally, some concluding remarks about the relative advantages of the three approaches are listed, in addition to some recommendations about their use.

Item URL in elib:https://elib.dlr.de/119240/
Document Type:Conference or Workshop Item (Speech)
Title:Cloud removal in high resolution multispectral satellite imagery: comparing three approaches
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Adam, FathalrahmanFathalrahman.Adam (at) dlr.dehttps://orcid.org/0000-0003-1771-0466
Mönks, Milenamilena.moenks (at) dlr.deUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:10 February 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-6
Publisher:MDPI
Status:Published
Keywords:cloud removal, landsat pre-processing, information cloning, spectral unmixing, Fourier fitting
Event Title:The 2nd international electronic conference on remote sensing
Event Location:Online
Event Type:international Conference
Event Dates:22.03.-05.04.2018
Organizer:MDPI
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Remote Sensing Technology Institute > EO Data Science
Deposited By: Adam, Fathalrahman
Deposited On:11 Jul 2018 10:02
Last Modified:12 Jul 2018 01:25

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