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Proceedings Paper

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

A new method of destriping Landsat data and compensating for failed detectors is presented. 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: 3 June 1987
PDF: 6 pages
Proc. SPIE 0757, Methods of Handling and Processing Imagery, (3 June 1987); doi: 10.1117/12.940045
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)

Published in SPIE Proceedings Vol. 0757:
Methods of Handling and Processing Imagery
Julian Marshall, Editor(s)

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