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On the use and denoising of the temporal geometric mean for SAR time series

Abstract : The increasing availability of SAR time series creates many opportunities for remote sensing applications, but it can be challenging in terms of amount of data to process. This letter discusses the interest of the geometric mean to average SAR time series. First, the properties of the geometric mean and of the arithmetic mean are compared. Then, a speckle-reduction method specifically designed to improve images obtained with the geometric mean is presented. This method is based on an adaptation of the MuLoG framework to take into account the specific distribution of the geometric mean. Finally, applications of this denoised geometric-mean image are presented.
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https://hal.telecom-paris.fr/hal-03095153
Contributor : Nicolas Gasnier Connect in order to contact the contributor
Submitted on : Monday, January 4, 2021 - 3:27:42 PM
Last modification on : Tuesday, September 21, 2021 - 2:16:04 PM
Long-term archiving on: : Monday, April 5, 2021 - 8:42:10 PM

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Nicolas Gasnier, Loïc Denis, Florence Tupin. On the use and denoising of the temporal geometric mean for SAR time series. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/LGRS.2021.3051936⟩. ⟨hal-03095153⟩

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