Abstract
For the reason that SAR image have speckle noise, an algorithm is proposed to detect the edge of SAR image using multi-scale and fusion method based on B-spline wavelet. The image is transformed in different scales, then two adaptive threshold methods are used to extract their edges, Finally, multi-scale edges are synthesized according to grad angle directions. Result of experiments showed that this algorithm can detect edge character more exactly than the Canny method, and that this method can be applied freely in different models.
| Original language | English |
|---|---|
| Pages (from-to) | 103-106 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 28 |
| Issue number | SUPPL. |
| Publication status | Published - Mar 2008 |
Keywords
- B-Spline wavelet
- Edge detection
- Image fusion
- Multi-scale
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Zhang, H. L., Ni, G. Q., Xu, T. F., & Hao, Q. W. (2008). SAR image edge detection using multi-scale and fusion method based on B-spline wavelet. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 28(SUPPL.), 103-106.