多波束Snippet回波强度再处理方法研究

Study on Reprocessing Methods of Multi-Beam Snippet Echo Intensity

针对经验模型的不准确以及补偿参数的不完备带来的商用软件处理后的多波束回波强度及海底声呐图像不能很好反映海底地貌和底质特征的问题,提出了一种多波束Snippet回波强度和图像再处理方法,主要包括基于声线跟踪和地形匹配度的辐射畸变改正残余影响消除方法、顾及角相关性的经验AR改正模型补偿残余影响消除方法、基于统计法的条带间回波强度/灰度变化不一致影响消除方法以及基于加权内插的多波束回波强度异常和缺少问题削弱方法,实现了高质量多波束回波强度的获取以及多波束海底声呐图像的获取。实际工程检验了该方法的有效性,结果表明,该方法消除了Caris处理结果的不足,获得的海底声呐图像清晰、正确地反映了海底底质、地物分布及纹理变化。

To overcome the adverse effects caused by inaccurate empirical model and inadequate compensation parameters,namely,the multibeam echo intensity and seabed sonar image processed with commercial software cannot show submarine terrain and substrate features clearly,a reprocessing method of multibeam Snippet echo intensity and image is proposed,which mainly includes the radiation distortion residual correction based on sound ray tracking and seabed slope,the angular respond(AR)residual correction based on the relationship between AR correction residual effect and beam’s incident angle,the elimination of inconformity of echo intensity/gray level between adjacent multibeam swaths based on statistical method,and the weakening method of abnormal multibeam echo intensity or loss based on weighted interpolation.Integration of these correction methods leads to high-quality multibeam echo intensity and multibeam seabed sonar image.The proposed method is verified by engineering practice.Its application overcomes the shortcomings in Caris result,ensures clear multibeam sonar image,reflects seabed sediment,surface feature distribution and texture variation correctly.