TY - GEN
T1 - Multi-Temporal Speckle Reduction of Polarimetric SAR Images
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
AU - Deledalle, Charles Alban
AU - Denis, Loic
AU - Ferro-Famil, Laurent
AU - Nicolas, Jean Marie
AU - Tupin, Florence
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - 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.
AB - 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.
KW - PolSAR
KW - matrix logarithm
KW - speckle
KW - variance stabilization
KW - whitening
UR - https://www.scopus.com/pages/publications/85077708978
U2 - 10.1109/IGARSS.2019.8898998
DO - 10.1109/IGARSS.2019.8898998
M3 - Conference contribution
AN - SCOPUS:85077708978
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 899
EP - 902
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 July 2019 through 2 August 2019
ER -