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Polarimetric SAR Image Filtering based on Patch Ordering and Simultaneous Sparse Coding

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POSSC

Polarimetric SAR Image Filtering based on Patch Ordering and Simultaneous Sparse Coding

POSSC is an algorithm for POLSAR image filtering. This algorithm reproduces the results from the article: B. Xu et al. 'Polarimetric SAR Image Filtering based on Patch Ordering and Simultaneous Sparse Coding' Please refer to this paper for a more detailed description of the algorithm.

BASIC USAGE EXAMPLES: Using the default parameters img_filtered = POLSAR_POSSC(img,'ENL',ENL)

INPUT ARGUMENTS (OPTIONAL): img : The input POLSAR image. Each pixel should be the vector form of covariance matrix. ENL : The equivalent number of looks. The ENL can be obtained by supervised or unsupervised estimation. OUTPUTS: img_filtered : The filtered image. Each pixel is the vector form of covariance matrix.

Copyright

Copyright (c) 2014 Bin Xu All rights reserved. This work should only be used for nonprofit purposes.


Requirements

All the functions and scripts were tested on MATLAB 2011b, the operation is not guaranteed with older version of MATLAB.

The version requires Windows 64 bit operating system.


Execution times

Intel(R) Core(TM) i5-2300 2.80Ghz 64bit; 8Gb Memory

dim. | time |
400x600 | around 60 sec |


Feedback

If you have any comment, suggestion, or question, please do contact Bin Xu at xubin07161@gmail.com

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Polarimetric SAR Image Filtering based on Patch Ordering and Simultaneous Sparse Coding

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