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    WE1.TO9.4.ppt WE1.TO9.4.ppt Presentation Transcript

    • 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]
    • 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.
    • 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
      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.
      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.
      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.
      A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • 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
    • 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)
    • 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.
    • The Low-frequency SAR Case A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • Alternative Way Road Appurtenances 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
      A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • Algorithm Flow A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • The Original Image A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • ROI Extraction A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • After Enhanced Lee Filtering A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • After Morphologic Filtering A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • After Clustering 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
      A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • ROI Discrimi- nation 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
      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.
    • After Classification A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • ROI Discrimi- nation 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
      A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • After Geometrical Discrimination A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • Road Extraction A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.
    • Final Result 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 s cattering and geometrical features are key to this approach
      • Future works
        • A integration frameworks of conventional and appurtenance-detection based approach
        • More efficient algorithms
      A New Road Extraction Approach for Low-frequency SAR Images Based on Road Appurtenance detection , Qian Song, etc.