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A NEW ROAD EXTRACTION APPROACH FOR LOW-FREQUENCY SAR IMAGES BASED ON ROAD APPURTENANCE DETECTION

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 N ational University Of Defense Technology Changsha, China songqian@nudt.edu.cn. Road Extraction. from.

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A NEW ROAD EXTRACTION APPROACH FOR LOW-FREQUENCY SAR IMAGES BASED ON ROAD APPURTENANCE DETECTION

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  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 songqian@nudt.edu.cn

  2. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Road Extraction from Feature Fusion to Improve Road Network Extraction in High-Resolution SAR Images Gianni Lisiniand Paolo Gamba of University of Pavia, etc. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 2, APRIL 2006

  3. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Object and Category • Conventional Road Extraction Approach is targeted at • Optical Images • Hyperspectral Images • High-frequency SAR Images • … and can be categorized into • Line detection • Shape inference

  4. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Line Detection Approach • Roads can be approxi-mated as lines，and can be extracted by line/ridge detection algorithms.

  5. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Shape Inference Approach • Roads occupy regular shapes，and can be extracted by edge detection and shape recognition algorithms.

  6. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. An Essential Precondition • The characteristics of roads and background are distinguishable enough.

  7. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. The Low-frequency SAR Case Data from a flight experiment of an airborne UWB SAR system develop-ed by NUDT, in Summer 2010

  8. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. The Low-frequency SAR Case The histograms of roads and background (with strong clutters suppressed)

  9. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. The Low-frequency SAR Case clutter attenuation

  10. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. The Low-frequency SAR Case

  11. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Alternative Way Road Appurtenances

  12. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Features Of Appurtenances • Consistent Scattering Characteristics • of the same material • of the same structure • often in the same orientation • Regular Geometrical Layouts • at nearly fixed intervals • with predictable patterns

  13. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Algorithm Flow

  14. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. The Original Image

  15. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. ROI Extraction

  16. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. After Enhanced Lee Filtering

  17. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. After Morphologic Filtering

  18. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. After Clustering

  19. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. ROIs of targets and clutters • Features Chosen: • Area • compactness • Eccentricity • Second order moment • Convexity

  20. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. ROI Discrimi-nation

  21. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. HS-SVM • An effective One-class classifier T. Jin, Z. Zhou, “Ultrawideband synthetic aperture radar landmine detection”, IEEE Trans. on GRS, pp. 3561- 3573, 2007.

  22. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. After Classification

  23. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. ROI Discrimi-nation

  24. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Geometrical Features • Parallelism • Constant width and Intervals • The heading angle changing slowly and continuously • Predictable Junction patterns

  25. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. After Geometrical Discrimination

  26. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. RoadExtraction

  27. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Final Result

  28. A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection，Qian Song, etc. Conclusions and Future works • Conclusion • Our approach of road extraction based on appurtenance detection shows its effectiveness, when: • the roads are foliage covered • there are some types of appurtenances • Low-frequency SAR is adopted for its penetrating capability • Reasonable selection and exploitation of scattering and geometrical features are key to this approach • Future works • A integration frameworks of conventional and appurtenance-detection based approach • More efficient algorithms

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