Adaptive Speckle Filtering for Time Series of Polarimetric SAR Images

The temporal evolution of the polarimetric SAR data provides an extremely valuable information source for the various applications of this data. In this paper, the evolution of the agriculture crops in the time dimension is employed for multitemporal multidimensional speckle filtering. The proposed filtering method is based on a temporal statistical criterion dependent on all elements of the covariance matrix. Also, this method adaptively uses the pixels with the same scattering characteristics in the spatial and temporal space. The experimental results on time series of Radarsat-2 images show that the proposed filter preserves the polarimetric information and also has a better performance compared to the other used filters, based on different criteria such as the equivalent number of looks and edge-preservation parameter.

[1]  Xiayuan Huang,et al.  A Nonlocal TV-Based Variational Method for PolSAR Data Speckle Reduction , 2016, IEEE Transactions on Image Processing.

[2]  J. Algina,et al.  Univariate and Multivariate Omnibus Hypothesis Tests Selected to Control Type I Error Rates When Population Variances Are Not Necessarily Equal , 1996 .

[3]  Thomas L. Ainsworth,et al.  Improved Sigma Filter for Speckle Filtering of SAR Imagery , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Samuel Foucher,et al.  Analysis, Evaluation, and Comparison of Polarimetric SAR Speckle Filtering Techniques , 2014, IEEE Transactions on Image Processing.

[5]  Corina da Costa Freitas,et al.  Classifying Multifrequency Fully Polarimetric Imagery With Multiple Sources of Statistical Evidence and Contextual Information , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Knut Conradsen,et al.  A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data , 2003, IEEE Trans. Geosci. Remote. Sens..

[7]  Hong Qiao,et al.  A New Algorithm for Optimizing TV-Based PolSAR Despeckling Model , 2016, IEEE Signal Processing Letters.

[8]  Jong-Sen Lee,et al.  Polarimetric SAR speckle filtering and its implication for classification , 1999, IEEE Trans. Geosci. Remote. Sens..

[9]  Wentao An,et al.  Nonlocal Filtering for Polarimetric SAR Data: A Pretest Approach , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Philippe Salembier,et al.  Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval , 2000, IEEE Trans. Image Process..

[11]  Thuy Le Toan,et al.  Multitemporal ERS SAR analysis applied to forest mapping , 2000, IEEE Trans. Geosci. Remote. Sens..

[12]  H. Zebker,et al.  Imaging radar polarization signatures: Theory and observation , 1987 .

[13]  Florence Tupin,et al.  NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Carlos López-Martínez,et al.  Polarimetric SAR speckle noise model , 2003, IEEE Trans. Geosci. Remote. Sens..

[15]  Juan M. Lopez-Sanchez,et al.  Spatial Adaptive Speckle Filtering Driven by Temporal Polarimetric Statistics and Its Application to PSI , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Torbjørn Eltoft,et al.  Estimation of the Equivalent Number of Looks in Polarimetric Synthetic Aperture Radar Imagery , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[17]  E. Pottier,et al.  Polarimetric Radar Imaging: From Basics to Applications , 2009 .

[18]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Thomas L. Ainsworth,et al.  Polarimetric SAR Speckle Filtering and the Extended Sigma Filter , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Gabriel Vasile,et al.  Intensity-driven adaptive-neighborhood technique for polarimetric and interferometric SAR parameters estimation , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Laurent Ferro-Famil,et al.  Scattering-model-based speckle filtering of polarimetric SAR data , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Mario Greco,et al.  Improved anisotropic diffusion filtering for sar image despeckling , 2013 .

[23]  Leslie M. Novak,et al.  Optimal speckle reduction in polarimetric SAR imagery , 1990 .

[24]  Corina da Costa Freitas,et al.  Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal means , 2013, Pattern Recognit..

[25]  Carlos López-Martínez,et al.  PolSAR Time Series Processing With Binary Partition Trees , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Hong Qiao,et al.  A Variational Model for PolSAR Data Speckle Reduction Based on the Wishart Distribution , 2015, IEEE Transactions on Image Processing.

[27]  Maoguo Gong,et al.  SAR Image Despeckling Based on Local Homogeneous-Region Segmentation by Using Pixel-Relativity Measurement , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Patrick Wambacq,et al.  Speckle filtering of synthetic aperture radar images : a review , 1994 .