SAR Image Registration Algorithm Based on Closed Uniform Regions

SU Juan; LI Bin; WANG Yanzhao

doi:10.11999/JEIT160141

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3282-3288

SU Juan, LI Bin, WANG Yanzhao. SAR Image Registration Algorithm Based on Closed Uniform Regions[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3282-3288. doi: 10.11999/JEIT160141

Citation:

SU Juan, LI Bin, WANG Yanzhao. SAR Image Registration Algorithm Based on Closed Uniform Regions[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3282-3288. doi: 10.11999/JEIT160141

SU Juan, LI Bin, WANG Yanzhao. SAR Image Registration Algorithm Based on Closed Uniform Regions[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3282-3288. doi: 10.11999/JEIT160141

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SAR Image Registration Algorithm Based on Closed Uniform Regions

doi: 10.11999/JEIT160141

SU Juan^{1
,
,},
LI Bin¹,
WANG Yanzhao¹

Funds:

The National Natural Science Foundation of China (61302195)

Received Date: 2016-01-29
Rev Recd Date: 2016-10-28
Publish Date: 2016-12-19

Abstract

Abstract

In order to overcome the influence of gray difference, rotation difference and scale difference on image registration accuracy, the gray statistic property of uniform regions in SAR images is utilized and a SAR image registration algorithm based on stable closed uniform regions is proposed. Firstly, based on the multi-scale nonlinear diffusion theory, closed uniform regions with good contour pervserving ability are respectively extracted from two images. Secondly, two affine-invariant region features based on polygon fitting and coincidence degree are constructed to realized the coarse-to-fine region matching. Finally, the centroids of matched regions are used to construct the transform model between two images. Experimental results demonstrate that, the proposed algorithm has high registration accuracy, and is effective for gray difference, rotation difference and scale difference, moreover, it has high adaptability to noise.
- SAR image registration,
- Closed uniform regions,
- Multi-scale nonlinear diffusion,
- Affine-invariant

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References(18)

References

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