Abstract: Synthetic Aperture Radar(SAR) image mosaic effect evaluation can be used to evaluate mosaic effect and mosaic algorithms. Aiming at the registration effect and mosaic-sew elimination effect of mosaic image, this paper proposes a new evaluation criteria based on structural similarity. The evaluation experiments of different kinds of registration algorithms and fusion algorithms are made to demonstrate that the evaluation criteria are effective.

Key words: Synthetic Aperture Radar(SAR) image mosaic, mosaic effect evaluation, structural similarit, evaluation criteria

摘要： 合成孔径雷达图像拼接效果评价可以用来衡量拼接图像效果和拼接算法的优劣。针对拼接图像的配准效果及融合时拼缝消除效果，基于图像的结构相似度提出新的图像拼接效果评价准则。对不同图像配准算法和融合算法的拼接结果进行评估实验，结果证明了该准则的有效性。

关键词: 合成孔径雷达图像拼接, 拼接效果评价, 结构相似度, 评价准则

CLC Number: 

• TN911.73