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A Temporal Estimation of Entropy and Its Comparison With Spatial Estimations on PolSAR Images

Abstract : Most of the applications of SAR polarimetry such as classification are based on estimation of the polarimetric covari-ance matrix. This estimation is generally done through a boxcar spatial filtering. This estimation process can induce mixture if different scatterers are present in neighboring pixels. Since the po-larimetric entropy H is a measure of variability, this mixture can result in a very uniform entropy map. A nonlocal algorithm can be used to improve the estimation of the covariance matrices. The entropy maps are smoothed and contrast is better preserved. We propose a third estimation of H by using a temporal stack. Pixels are averaged on the time axis instead of on a spatial basis. On the datasets we studied, the temporal estimation increases the contrast of H maps. This contrast allows us to better discriminate targets. Temporal entropy is very influenced by the degree of coherence. Nevertheless, H temporal provides additional information, combining information about the polarimetric stability of scattering mechanisms over time.
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Contributor : Flora Weissgerber Connect in order to contact the contributor
Submitted on : Monday, March 6, 2017 - 4:26:30 PM
Last modification on : Wednesday, November 3, 2021 - 4:24:23 AM
Long-term archiving on: : Wednesday, June 7, 2017 - 12:23:11 PM


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Flora Weissgerber, Elise Colin-Koeniguer, Nicolas Nicolas, Jean-Marie Nicolas. A Temporal Estimation of Entropy and Its Comparison With Spatial Estimations on PolSAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (8), pp.3809 - 3820. ⟨10.1109/JSTARS.2016.2555243⟩. ⟨hal-01386385⟩



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