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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
page  Index Index Introduction Speckle filtering  Decomposition and classification Conclusion
[object Object],[object Object],[object Object],[object Object],[object Object],page  Introduction Introduction
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 + S VV |
Speckle filtering approaches Flevoland (JPL L-Band AIRSAR) Refined Lee IDAN NL-PolSAR |S HH - S VV |  |S HV |  |S HH + S VV |
page  Index Index Introduction Speckle filtering Decomposition and classification Conclusion
Coherency matrix:  Hermitian, semi-definite positive matrix  -> diagonalization Cloude-Pottier Decomposition ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Cloude-Pottier Decomposition
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 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
The Wishart H    Classification ,[object Object],Building Water Forest
Wishart clustering ,[object Object],[object Object],[object Object],: the trace of a matrix   The Wishart H /    Classification Distance measure V  :  the cluster center coherency matrix Maximum likelihood criterion
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/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.
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.
page  Index Index Introduction Speckle filtering Decomposition and classification Conclusion
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you! page

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TupinTU1T024.ppt

  • 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. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  • 3.
  • 4. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  • 5. page Speckle filtering approaches
  • 6. page Speckle filtering approaches
  • 7. page Speckle filtering approaches
  • 8. page Speckle filtering approaches
  • 9. page Speckle filtering approaches
  • 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. Speckle filtering approaches Flevoland (JPL L-Band AIRSAR) Refined Lee IDAN NL-PolSAR |S HH - S VV | |S HV | |S HH + S VV |
  • 12. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  • 13.
  • 14.
  • 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. 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.
  • 18.
  • 19. Decomposition and classification page AIRSAR ALOS/PALSAR Radarsat–2 Refined LEE NL-PolSAR
  • 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. 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. page Index Index Introduction Speckle filtering Decomposition and classification Conclusion
  • 23.