IGARSS2011 OnTheUseOfPO.ppt

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IGARSS2011 OnTheUseOfPO.ppt

  1. 1. On The Use of Polarimetric Orientation for POLSAR Classification and Decomposition Hiroshi Kimura Gifu University, Japan IGARSS 2011 Vancouver, Canada July 25, 2011
  2. 2. Contents <ul><li>Background </li></ul><ul><li>Polarization Orientation in Built-up Areas </li></ul><ul><li>Method to Discriminate Built-up and Non-built-up Areas </li></ul><ul><li>ALOS PALSAR Experiment </li></ul><ul><li>Conclusion </li></ul>I IGARSS 2011, Vancouver, Canada
  3. 3. Background I IGARSS 2011, Vancouver, Canada Freeman&Durden decomposition of ALOS PALSAR   data (Descend.) Double-bounce , Volume , Surface From map “Isezaki” by The Geospatial Information Authority of Japan (GSI) Agricultural field Built-up Area Objective: To discriminate built-up and non-built-up areas
  4. 4. Polarization Orientation in Built-up Areas <ul><li>• PO angle shift of terrain slopes: </li></ul><ul><li> : azimuth slope angle, </li></ul><ul><li> : ground range slope angle, </li></ul><ul><li> : radar look angle. </li></ul>z <ul><li>• PO angle shift of built-up areas: </li></ul><ul><li>azimuth slope angle:    ground range angle:   </li></ul><ul><li>radar look angel:    </li></ul><ul><li>  wall orientation angle from the normal of radar beam </li></ul><ul><li>H. Kimura, “Radar polarization orientation shifts in built-up areas,” IEEE GRSL, vol. 5, no. 2, 2008. </li></ul>From L-band Pi-SAR data of Gifu I IGARSS 2011, Vancouver, Canada Radar x (azimuth) y (range) V H k  
  5. 5. Method to Discriminate Built-up and Non-built-up Area I IGARSS 2011, Vancouver, Canada <ul><li>• Detection of built-up areas facing away from the radar (|  |   c ) </li></ul><ul><li>• Method to discriminate </li></ul><ul><li>Built-up areas:   a  c  or   d  c  </li></ul><ul><li>Not built-up but level surface areas:   a  c and   d  c  </li></ul><ul><li> a ,  d : PO angles from ascending and descending orbits </li></ul><ul><li>c : PO angle threshold from wall orientation angle threshold  c </li></ul>Illumination Illumination UNDETECTABLE zone of built-up areas DETECTABLE zone of built-up areas ASCENDING DESCENDING
  6. 6. I IGARSS 2011, Vancouver, Canada In case of SMALL threshold  c  (OR) ASCENDING DESCENDING DETECTABLE zone of built-up areas  • NO undetectable zone of built-up area • COMMISSION error (Non-built-up areas are assigned to built-up areas) increases. • OMSSION error (Built-up areas are assigned to non-built-up areas) decreases. UNDETECTABLE DETECTABLE
  7. 7. I IGARSS 2011, Vancouver, Canada In case of LARGE threshold  c  (OR) ASCENDING DESCENDING DETECTABLE zone of built-up areas  UNDETECTABLE zone • Undetectable zone of built-up area exists. • COMMISSION error (Non-built-up areas are assigned to built-up areas) decreases. • OMSSION error (Built-up areas are assigned to non-built-up areas) increases. UNDETECTABLE DETECTABLE
  8. 8. ALOS PALSAR Experiment: PALSAR Scenes I IGARSS 2011, Vancouver, Canada The Atsugi area: about 50 km south-west from Tokyo Radar illumination azimuth: 99  (Ascending) 261  (Descending) Expected  c is 9  (No undetectable zone and the max.  c ), then the PO angle threshold c will be 10  .
  9. 9. ALOS PALSAR Experiment: Images I IGARSS 2011, Vancouver, Canada Pauli color code Freeman&Durden decomposition PO angle |HH-VV| , |HV| , |HH+VV| Double-bounce , Volume , Surface 
  10. 10. Study Area ( 5.2km by 3.1 km ) I IGARSS 2011, Vancouver, Canada B3 F3 B2 B1 F2 F1 Google Earth image Map by GSI, Japan B3 F3 B2 B1 F2 F1 © Google Earth
  11. 11. Freeman&Durden Decomposition I IGARSS 2011, Vancouver, Canada Google Earth image Ascending Descending B3 F3 B2 B1 F2 F1 Double-bounce Volume Surface © Google Earth
  12. 12. H-Alpha Segmentation I IGARSS 2011, Vancouver, Canada Google Earth image Ascending Descending © Google Earth B3 F3 B2 B1 F2 F1 H 
  13. 13. PO Angle Images I IGARSS 2011, Vancouver, Canada  Google Earth image Ascending Descending © Google Earth B3 F3 B2 B1 F2 F1
  14. 14. Discrimination Results I IGARSS 2011, Vancouver, Canada c =5  (  c =5  ) c =10  (  c =9  ) c =12  (  c =11  ) White: Built-up area, Black: Non-built-up area B3 F3 B2 B1 F2 F1
  15. 15. Discrimination Results (Built-up areas) I IGARSS 2011, Vancouver, Canada © Google Earth © Google Earth © Google Earth B1 B2 B3 White: Built-up area Black: Non-built-up area Google Earth image c =5  (  c =5  ) c =10  (  c =9  ) c =12  (  c =11  ) Omission errors
  16. 16. Discrimination Results (Non-built-up areas) I IGARSS 2011, Vancouver, Canada © Google Earth © Google Earth © Google Earth F1 F2 F3 Commission errors White: Built-up area Black: Non-built-up area Google Earth image c =5  (  c =5  ) c =10  (  c =9  ) c =12  (  c =11  )
  17. 17. Discrimination Results I IGARSS 2011, Vancouver, Canada Freeman&Durden decomposition of ALOS PALSAR   data ( Descend. ) Double-bounce , Volume , Surface Built-up Areas (white) and non-built-up areas (black) by c =10  (  c =9  ). Agricultural field Built-up Area
  18. 18. Discrimination Results I IGARSS 2011, Vancouver, Canada Freeman&Durden decomposition of ALOS PALSAR   data ( Ascend. ) Double-bounce , Volume , Surface Built-up Areas (white) and non-built-up areas (black) by c =10  (  c =9  ). Agricultural field Built-up Area
  19. 19. Conclusion I IGARSS 2011, Vancouver, Canada <ul><li>PO from ascending and descending orbits can be used to discriminate built-up and non-built-up areas. </li></ul><ul><li>Radar illumination direction influences POLSAR data aanlysis. </li></ul><ul><li>The discrimination prevents misleading of POLSAR decomposition and classification. (Volume scattering in urban areas, double bounce in agricultural fields, et al.) </li></ul><ul><li>The expected threshold with no undetectable zone of built-up areas and the maximum number seems to be good, but a further study is required for the best one . </li></ul><ul><li>Slopes should be separated. </li></ul>
  20. 20. Rotation of Coherence Matrix (Yamaguchi) I IGARSS 2011, Vancouver, Canada BEFORE Rotation AFTER Rotation Agricultural fields Built-up Areas |HH-VV| |HV| |HH+VV| Ascending      Descending |HH-VV| |HV| |HH+VV| Ascending      Descending
  21. 21. PO Angle Shifts of Slopes I IGARSS 2011, Vancouver, Canada Range Slope Angle (degrees)

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