Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 9, Issue 4, Pages 624-628Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2011.2177062
Keywords
Autoregressive (AR); gap filling; power law spectrum
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Power law spectrums are frequently used to model complex natural processes. Estimation of power law behavior can be severely hampered by temporal gaps in measured data, which can occur frequently for data sets spanning many years. The author presents an algorithm for iterative gap filling through the use of an autoregressive model. This technique is validated with a simulation study, and its benefits are demonstrated through application to measured data sets.
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