Tuesday, 26/07/2011, Vancouver, Canada, IGARSS 2011 INFLUENCE OF SPECKLE FILTERING OF POLARIMETRIC SAR DATA ON DIFFERENT C...
page  Index Index Introduction Speckle filtering  Decomposition and classification Conclusion
<ul><li>Speckle filtering: </li></ul><ul><ul><li>A pre-processing step to reduce the speckle noise before image segmentati...
page  Index Index Introduction Speckle filtering Decomposition and classification Conclusion
page  Speckle filtering approaches
page  Speckle filtering approaches
page  Speckle filtering approaches
page  Speckle filtering approaches
page  Speckle filtering approaches
Speckle filtering approaches San Francisco (JPL L-Band AIRSAR) Refined Lee IDAN NL-PolSAR |S HH - S VV |  |S HV |  |S HH +...
Speckle filtering approaches Flevoland (JPL L-Band AIRSAR) Refined Lee IDAN NL-PolSAR |S HH - S VV |  |S HV |  |S HH + S V...
page  Index Index Introduction Speckle filtering Decomposition and classification Conclusion
Coherency matrix:  Hermitian, semi-definite positive matrix  -> diagonalization Cloude-Pottier Decomposition <ul><li>Eigen...
<ul><li>Probability of each 3 scattering mechanism  </li></ul><ul><ul><li>Entropy H :  the global distribution of scatteri...
b Refined Lee  IDAN  NL-PolSAR San Francisco by JPL L–Band AIRSAR Entropy Alpha Anisotropy 1.0 0 1.0 0 90° 0
Entropy Alpha Anisotropy 1.0 0 1.0 0 90° 0 b Refined Lee  IDAN  NL-PolSAR The refined Lee filter and the NLPolSAR filters ...
The Wishart H    Classification <ul><ul><li>H/   initialization: 8 classes </li></ul></ul>Building Water Forest
Wishart clustering <ul><ul><ul><li>Supervised algorithm   </li></ul></ul></ul><ul><ul><ul><li>Based on the complex Wishart...
Decomposition and classification page  AIRSAR  ALOS/PALSAR  Radarsat–2 Refined LEE NL-PolSAR
Decomposition and classification page  AIRSAR  ALOS/PALSAR  Radarsat–2 Refined LEE NL-PolSAR The results of AIRSAR, ALOS/P...
The NL-PolSAR filter has better performance than the refined Lee filter, for example, the golf course areas and the lakes ...
page  Index Index Introduction Speckle filtering Decomposition and classification Conclusion
Conclusion <ul><li>Comparison of 3 speckle filters: </li></ul><ul><li>Refined Lee’s filter, IDAN  filter and the NL-PolSAR...
Thank you! page
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TupinTU1T024.ppt

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TupinTU1T024.ppt

  1. 1. Tuesday, 26/07/2011, Vancouver, Canada, IGARSS 2011 INFLUENCE OF SPECKLE FILTERING OF POLARIMETRIC SAR DATA ON DIFFERENT CLASSIFICATION METHODS Fang Cao 1 , Charles-Alban Deledalle 1 , Jean-Marie Nicolas 1 , Florence Tupin 1 , Loïc Denis 2 , Laurent Ferro-Famil 3 , Eric Pottier 3 , Carlos López-Martínez 4 1 Institut T é l é com, T é l é com ParisTech, France 2 Université de Lyon, France 3 Université de Rennes 1, France 4 Universitat Politècnica de Catalunya, Spain
  2. 2. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  3. 3. <ul><li>Speckle filtering: </li></ul><ul><ul><li>A pre-processing step to reduce the speckle noise before image segmentation or classification </li></ul></ul><ul><li>Tested filters : Refined Lee’s filter, IDAN filter and NL-PolSAR filter </li></ul><ul><li>Decomposition and classification: </li></ul><ul><li>Evaluation of the performance of speckle filtering methods through Cloude–Pottier decomposition and Wishart H/alpha classification </li></ul>page Introduction Introduction
  4. 4. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  5. 5. page Speckle filtering approaches
  6. 6. page Speckle filtering approaches
  7. 7. page Speckle filtering approaches
  8. 8. page Speckle filtering approaches
  9. 9. page Speckle filtering approaches
  10. 10. Speckle filtering approaches San Francisco (JPL L-Band AIRSAR) Refined Lee IDAN NL-PolSAR |S HH - S VV | |S HV | |S HH + S VV |
  11. 11. Speckle filtering approaches Flevoland (JPL L-Band AIRSAR) Refined Lee IDAN NL-PolSAR |S HH - S VV | |S HV | |S HH + S VV |
  12. 12. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  13. 13. Coherency matrix: Hermitian, semi-definite positive matrix -> diagonalization Cloude-Pottier Decomposition <ul><li>Eigenvalue/eigenvector calculation of the coherency matrix of fully polarimetric SAR data. </li></ul><ul><li>Covering the whole range of scattering mechanisms </li></ul><ul><li>Automatically basis invariant. </li></ul>
  14. 14. <ul><li>Probability of each 3 scattering mechanism </li></ul><ul><ul><li>Entropy H : the global distribution of scattering mechanism </li></ul></ul><ul><ul><li> angle : the type of scattering mechanism </li></ul></ul><ul><ul><li>Anisotropy A : the two least important scattering mechanism effects </li></ul></ul>Cloude-Pottier Decomposition
  15. 15. b Refined Lee IDAN NL-PolSAR San Francisco by JPL L–Band AIRSAR Entropy Alpha Anisotropy 1.0 0 1.0 0 90° 0
  16. 16. Entropy Alpha Anisotropy 1.0 0 1.0 0 90° 0 b Refined Lee IDAN NL-PolSAR The refined Lee filter and the NLPolSAR filters have similar performance. The IDAN filter usually introduces bias in entropy and anisotropy values, which may result to unreliable classification results. San Francisco by JPL L–Band AIRSAR
  17. 17. The Wishart H  Classification <ul><ul><li>H/  initialization: 8 classes </li></ul></ul>Building Water Forest
  18. 18. Wishart clustering <ul><ul><ul><li>Supervised algorithm </li></ul></ul></ul><ul><ul><ul><li>Based on the complex Wishart distribution of coherency matrix </li></ul></ul></ul><ul><ul><ul><li>Use maximum likelihood criterion </li></ul></ul></ul>: the trace of a matrix The Wishart H /  Classification Distance measure V : the cluster center coherency matrix Maximum likelihood criterion
  19. 19. Decomposition and classification page AIRSAR ALOS/PALSAR Radarsat–2 Refined LEE NL-PolSAR
  20. 20. Decomposition and classification page AIRSAR ALOS/PALSAR Radarsat–2 Refined LEE NL-PolSAR The results of AIRSAR, ALOS/PALSAR and RadarSat-2 data show that the classification results with different sensors are quite similar, except the water area in the AIRSAR data, which is due to the big variation of the incidence angle of the airborne sensor.
  21. 21. The NL-PolSAR filter has better performance than the refined Lee filter, for example, the golf course areas and the lakes in the AIRSAR classification results.
  22. 22. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  23. 23. Conclusion <ul><li>Comparison of 3 speckle filters: </li></ul><ul><li>Refined Lee’s filter, IDAN filter and the NL-PolSAR filter </li></ul><ul><li>Comparison of the influence on decomposition and classification </li></ul><ul><li>Cloude-Pottier decomposition & Wishart H/a classification </li></ul><ul><li>Obtained results with different sensors: </li></ul><ul><li>Radarsat-2, ALOS/PALSAR and AIRSAR </li></ul><ul><li>The NL-PolSAR filter achieves the best performance in our experimental tests </li></ul>
  24. 24. Thank you! page

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