| 加权最小二乘估计的多波束声强数据归一化方法 |
| |
| 引用本文： | 孙文川,肖付民,金绍华,朱小辰,武同元,田勋.加权最小二乘估计的多波束声强数据归一化方法[J].测绘科学技术学报,2012(4):262-266. |
| |
| 作者姓名： | 孙文川 肖付民 金绍华 朱小辰 武同元 田勋 |
| |
| 作者单位： | 海军大连舰艇学院海测工程系 |
| |
| 基金项目： | 国家自然科学基金项目(41074002);大连舰艇学院科研发展基金资助项目 |
| |
| 摘 要： | 高质量的海底声强图是多波束海底底质分类的基础。在系统分析了多波束声强图像中沿测船航迹灰度异常值和区域性明暗差异成因的基础上,提出了基于加权最小二乘估计的多波束声强数据归一化方法。实例计算结果表明:该方法在不损失原有强度变化信息的基础上,有效地抑制了声强图中灰度异常值对海底底质分类的影响,提高了区域底质分类的质量。
|
| 关 键 词： | 加权最小二乘估计 多波束声强图 归一化 底质分类 反向散射信号 |
Normalization of Multibeam Echo Intensity Based on Weighted Least Squares Estimation Method |
| |
| SUN Wenchuan,XIAO Fumin,JIN Shaohua,ZHU Xiaochen,WU Tongyuan,TIAN Xun.Normalization of Multibeam Echo Intensity Based on Weighted Least Squares Estimation Method[J].Journal of Zhengzhou Institute of Surveying and Mapping,2012(4):262-266. |
| |
| Authors: | SUN Wenchuan XIAO Fumin JIN Shaohua ZHU Xiaochen WU Tongyuan TIAN Xun |
| |
| Institution: | (Department of Hydrography and Cartography,Dalian Naval Academy,Dalian 116018,China) |
| |
| Abstract: | High-quality underwater sound image is the basis of seafloor classification by using sound images.After the problems of abnormal gray alongtrack in multibeam sound image were analyzed systematically,normalization of multibeam echo intensity based on weighted least squares estimation method was proposed.The results showed that this method can effectively suppress the errors on seafloor classification derived of abnormal gray in multibeam sound image without loss of original echo intensity change information,and improved the quality of seafloor classification by using sound images. |
| |
| Keywords: | weighted least squares estimation multibeam sound image normalization seafloor classification backscatter signal |
| 本文献已被 CNKI 等数据库收录！ |
