Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadatas

https://hal.telecom-paris.fr/hal-03095153
Contributor : Nicolas Gasnier <>
Submitted on : Monday, January 4, 2021 - 3:27:42 PM
Last modification on : Thursday, January 21, 2021 - 9:58:01 PM

File

GRSL_rev_accepte.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03095153, version 1

Citation

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, inPress. ⟨hal-03095153⟩

Share

Metrics

Record views

120

Files downloads

59