摘要
借鉴图像处理中的空间滤波方法进行振幅去噪,通过对实际观测值的处理、比较和分析,认为梯度倒数加权平滑法效果最佳。实验也验证了该结论的正确性。
Amplitude data are the key data for generating backscatter intensity maps as well as seabed sediment classification. There are noises in signals because of the system itself or some other factors when the amplitude data are obtained. The existence of these noises directly effects data processing, which makes seabed backscatter strength map distorted. So the amplitude de-noising becomes very important. Spatial filtering methods in the image processing are referred to. By comparison and analysis with the actual observations, we prove that the gradient inverse weight smoothing algorithm is optimal, and the experimental results show the correctness of the conclusions.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第9期1082-1085,共4页
Geomatics and Information Science of Wuhan University
基金
精密工程与工业测量国家测绘局重点实验室开放研究基金资助项目(PF2009-21)
国家自然科学基金资助项目(40704001)
关键词
声纳
振幅数据
振幅图
滤波
sonar
amplitude data
amplitude map
filtering
