中文摘要：

针对多波束声呐图像和侧扫声呐图像在位置和分辨率上的互补性及实践中对高质量海床地貌图像的需求,提出了基于两套声呐图像信息融合获取高质量海床地貌图像的思想和方法,研究了SURF匹配算法,提出了ISURF改进算法;基于独立和联合评价参数,对4种图像融合算法进行了深入研究,给出了适合声呐图像融合的最优算法及完整的两套图像融合过程,并用试验进行了验证。

英文摘要：

For compensating the shortcoming of multibeam sonar image in resolution and that of side scan sonar image in position, and meeting with the requirement of acquiring highquality seabed relief image in practice, a new method, by merging MBS image and SSS image and forming high-quality seabed relief image, is presented. Firstly, speeded-up robust feature （SURF） algorithm is studied deeply and an improved algorithm ISURF is given out. The ISURF algorithm obviously improves the matching accuracy and decreases the matching time of MBS image and SSS image relative to SURF algorithm. Then, four image-fusion algorithms are studied. By comparing and analyzing in virtue of independent evaluation parameters and associated evaluation parameters, the optimum image fusion method, which is Laplace Pyramid method or wavelet transform method, is given out for fulfilling the fusion of MBS image and SSS image. Based on above researches, a complete fusion procedure of MBS image and SSS image is presented and used for forming a high-quality seabed relief image. These methods depicted in this paper have been proved by experiments.