Journal cover Journal topic
Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
19 Dec 2016
Review status
A revision of this discussion paper is under review for the journal Nonlinear Processes in Geophysics (NPG).
Regularization Destriping of Remote Sensing Imagery
Ranil Basnayake1, Erik Bollt1, Nicholas Tufillaro2, Jie Sun1, and Michelle Gierach3 1Department of Mathematics, Clarkson University, 8 Clarkson Avenue 5815, Potsdam, NY 13699, USA
2College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, 104 CEOAS Administration Building,Corvallis, OR 97331, USA
3Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA
Abstract. We illustrate the utility of variational destriping for ocean color images from both mulitspectral and hyperspectral sensors. In particular, we examine data from a filter spectrometer, the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar Partnership (NPP) orbiter, and an airborne grating spectrometer, the Jet Population Laboratory's (JPL) hyperspectral Portable Remote Imaging Spectrometer (PRISM) sensor. We solve the destriping problem using a variational regularization method by giving weights spatially to preserve the other features of the image during the destriping process. The target functional penalizes `the neighborhood of stripes' (strictly, directionally uniform features) while promoting data fidelity, and the functional is minimized by solving the Euler-Lagrange equations with an explicit finite difference scheme. We show the accuracy of our method from a benchmark data set which represents the Sea Surface Temperature off the Coast of Oregon, USA. Technical details, such as how to impose continuity across data gaps using inpainting, are also described.

Citation: Basnayake, R., Bollt, E., Tufillaro, N., Sun, J., and Gierach, M.: Regularization Destriping of Remote Sensing Imagery, Nonlin. Processes Geophys. Discuss., doi:10.5194/npg-2016-74, in review, 2016.
Ranil Basnayake et al.
Ranil Basnayake et al.
Ranil Basnayake et al.


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