WE1.TO9.4.ppt

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WE1.TO9.4.ppt

  1. 1. A NEW ROAD EXTRACTION APPROACH FOR LOW-FREQUENCY SAR IMAGES BASED ON ROAD APPURTENANCE DETECTION Qian Song, Yu-min Wang, Yun-fei Shi, Tian Jin National University Of Defense Technology Changsha, China [email_address]
  2. 2. Road Extraction Feature Fusion to Improve Road Network Extraction in High-Resolution SAR Images Gianni Lisini and Paolo Gamba of University of Pavia, etc. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 2, APRIL 2006 from A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  3. 3. Object and Category <ul><li>Conventional Road Extraction Approach is targeted at </li></ul><ul><ul><li>Optical Images </li></ul></ul><ul><ul><li>Hyperspectral Images </li></ul></ul><ul><ul><li>High-frequency SAR Images </li></ul></ul><ul><li>… and can be categorized into </li></ul><ul><ul><li>Line detection </li></ul></ul><ul><ul><li>Shape inference </li></ul></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  4. 4. Line Detection Approach <ul><li>Roads can be approxi-mated as lines , and can be extracted by line/ridge detection algorithms. </li></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  5. 5. Shape Inference Approach <ul><li>Roads occupy regular shapes , and can be extracted by edge detection and shape recognition algorithms. </li></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  6. 6. An Essential Precondition <ul><li>The characteristics of roads and background are distinguishable enough. </li></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  7. 7. The Low-frequency SAR Case A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc. Data from a flight experiment of an airborne UWB SAR system develop-ed by NUDT, in Summer 2010
  8. 8. The Low-frequency SAR Case A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc. The histograms of roads and background (with strong clutters suppressed)
  9. 9. The Low-frequency SAR Case clutter attenuation A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  10. 10. The Low-frequency SAR Case A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  11. 11. Alternative Way Road Appurtenances A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  12. 12. Features Of Appurtenances <ul><li>Consistent Scattering Characteristics </li></ul><ul><ul><li>of the same material </li></ul></ul><ul><ul><li>of the same structure </li></ul></ul><ul><ul><li>often in the same orientation </li></ul></ul><ul><li>Regular Geometrical Layouts </li></ul><ul><ul><li>at nearly fixed intervals </li></ul></ul><ul><ul><li>with predictable patterns </li></ul></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  13. 13. Algorithm Flow A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  14. 14. The Original Image A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  15. 15. ROI Extraction A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  16. 16. After Enhanced Lee Filtering A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  17. 17. After Morphologic Filtering A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  18. 18. After Clustering A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  19. 19. ROIs of targets and clutters <ul><li>Features Chosen: </li></ul><ul><li>Area </li></ul><ul><li>compactness </li></ul><ul><li>Eccentricity </li></ul><ul><li>Second order moment </li></ul><ul><li>Convexity </li></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  20. 20. ROI Discrimi- nation A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  21. 21. HS-SVM <ul><li>An effective One-class classifier </li></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc. T. Jin, Z. Zhou, “Ultrawideband synthetic aperture radar landmine detection”, IEEE Trans. on GRS, pp. 3561- 3573, 2007.
  22. 22. After Classification A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  23. 23. ROI Discrimi- nation A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  24. 24. Geometrical Features <ul><li>Parallelism </li></ul><ul><li>Constant width and Intervals </li></ul><ul><li>The heading angle changing slowly and continuously </li></ul><ul><li>Predictable Junction patterns </li></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  25. 25. After Geometrical Discrimination A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  26. 26. Road Extraction A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  27. 27. Final Result A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
  28. 28. Conclusions and Future works <ul><li>Conclusion </li></ul><ul><ul><li>Our approach of road extraction based on appurtenance detection shows its effectiveness, when: </li></ul></ul><ul><ul><ul><li>the roads are foliage covered </li></ul></ul></ul><ul><ul><ul><li>there are some types of appurtenances </li></ul></ul></ul><ul><ul><ul><li>Low-frequency SAR is adopted for its penetrating capability </li></ul></ul></ul><ul><ul><li>Reasonable selection and exploitation of s cattering and geometrical features are key to this approach </li></ul></ul><ul><li>Future works </li></ul><ul><ul><li>A integration frameworks of conventional and appurtenance-detection based approach </li></ul></ul><ul><ul><li>More efficient algorithms </li></ul></ul>A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
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