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Optical Engineering

Landsat Data Destriping Using Power Spectral Filtering
Author(s): Ram Srinivasan; Michael Cannon; James White
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Paper Abstract

A new method is presented for destriping Landsat data and compen-sating for failed detectors. The basic spatial frequency composition of the degradation is determined from an easily computed one-dimensional power spectrum of the image. A convolutional restoration kernel is then created from a modified version of the power spectrum.

Paper Details

Date Published: 1 November 1988
PDF: 5 pages
Opt. Eng. 27(11) 271193 doi: 10.1117/12.7976791
Published in: Optical Engineering Volume 27, Issue 11
Show Author Affiliations
Ram Srinivasan, International Imaging Systems (United States)
Michael Cannon, Los Alamos National Laboratory (United States)
James White, Los Alamos National Laboratory (United States)


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