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  • 标题:SAR Image Matching Algorithm Base on Improved Hu Invariant Moments
  • 本地全文:下载
  • 作者:Lin Kuan ; Zhang Yi ; Dang Yawen
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:1
  • 页码:1-8
  • DOI:10.14257/ijsip.2015.8.1.01
  • 出版社:SERSC
  • 摘要:SAR image matching as a key technology is valuable in theory and practicality. Recent years, wide attention has been paid to cross-correlation algorithm and Hu invariant moments algorithm in the image matching field. The paper introduces concept of the two methods, and takes samples to analyze them to summarize the merits and faults. These two methods are not so effectual for SAR image matching. So based on the traditional Hu invariants moments algorithm, a new kind of improved Hu invariant moments algorithm is proposed. The experimental results prove that the improved method is stable and reliable under some variations for rotation in SAR image matching.
  • 关键词:Cross-correlation; Hu Invariant Moments; Image matching; SAR image
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