MULTI-TEMPORAL SPECKLE REDUCTION OF POLARIMETRIC SAR IMAGES: A RATIO-BASED APPROACH

被引：0

作者：

Deledalle, Charles-Alban ^{[1
]}

Denis, Loic ^{[2
]}

Ferro-Famil, Laurent ^{[3
]}

Nicolas, Jean-Marie ^{[4
]}

Tupin, Florence ^{[4
]}

机构：

[1] Univ Bordeaux, Bordeaux INP, IMB, CNRS, F-33405 Talence, France

[2] Univ Lyon, UJM St Etienne, Inst Opt Grad Sch, Lab Hubert Curien,CNRS,UMR 5516, St Etienne, France

[3] Univ Rennes 1, IETR Lab, CNRS, UMR 6164, Rennes, France

[4] Univ Paris Saclay, LTCI, Telecom ParisTech, Paris, France

来源：

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年

关键词：

PolSAR; speckle; matrix logarithm; variance stabilization; whitening;

D O I：

10.1109/igarss.2019.8898998

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The availability of multi-temporal stacks of SAR images opens the way to new speckle reduction methods. Beyond mere spatial filtering, the time series can be used to improve the signal-to-noise ratio of structures that persist for several dates. Among multi-temporal filtering strategies to reduce speckle fluctuations, a recent approach has proved to be very effective: ratio-based filtering (RABASAR). This method, developed to reduce the speckle in multi-temporal intensity images, first computes a "mean image" with a high signal-to-noise ratio (a so-called super-image), and then processes the ratio between the multi-temporal stack and the super-image. In this paper, we propose an extension of this approach to polarimetric SAR images. We illustrate its potential on a stack of fully-polarimetric images from RADARSAT-2 satellite.

引用

页码：899 / 902

页数：4

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