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基于FPDE-SIFT的声呐干涉图像配准方法

刘伟陆 周天 闫振宇 杜伟东

刘伟陆, 周天, 闫振宇, 杜伟东. 基于FPDE-SIFT的声呐干涉图像配准方法[J]. 电子与信息学报, 2024, 46(1): 101-108. doi: 10.11999/JEIT230337
引用本文: 刘伟陆, 周天, 闫振宇, 杜伟东. 基于FPDE-SIFT的声呐干涉图像配准方法[J]. 电子与信息学报, 2024, 46(1): 101-108. doi: 10.11999/JEIT230337
LIU Weilu, ZHOU Tian, YAN Zhenyu, DU Weidong. Interference Image Registration Based on FPDE-SIFT for Sonar[J]. Journal of Electronics & Information Technology, 2024, 46(1): 101-108. doi: 10.11999/JEIT230337
Citation: LIU Weilu, ZHOU Tian, YAN Zhenyu, DU Weidong. Interference Image Registration Based on FPDE-SIFT for Sonar[J]. Journal of Electronics & Information Technology, 2024, 46(1): 101-108. doi: 10.11999/JEIT230337

基于FPDE-SIFT的声呐干涉图像配准方法

doi: 10.11999/JEIT230337
基金项目: 国家自然科学基金(42176192, 41976176, 42176188, 52001097)
详细信息
    作者简介:

    刘伟陆:男,博士生,研究方向为水声信号处理

    周天:男,教授,研究方向为水声信号处理、水声目标探测

    闫振宇:男,博士生,研究方向为声呐图像处理

    杜伟东:男,副教授,研究方向为水声信号处理

    通讯作者:

    杜伟东 duweidong@hrbeu.edu.cn

  • 中图分类号: TN929.3

Interference Image Registration Based on FPDE-SIFT for Sonar

Funds: The National Natural Science Foundation of China (42176192, 41976176, 42176188, 52001097)
  • 摘要: 图像配准是声呐进行高精度干涉测量的保障,该文针对水下目标的声呐图像配准,提出了一种基于4阶偏微分方程尺度不变特征变换的声呐干涉图像配准方法。该方法聚焦声呐图像配准的难点,首先基于4阶偏微分方程构建尺度空间,在保持图像细节的前提下滤除噪声,提高特征提取的准确度;对于残余噪声造成的特征点误检,借助特征点的相位一致性信息加以筛选,精简特征点样本集;最后对特征点匹配策略进行优化,提出改进的快速样本一致性匹配策略剔除特征点的误匹配。算法增加了匹配点对的数量,提高了匹配点对的准确度,实现了声呐干涉图像的精确配准。水池实验和外场试验表明,该文所提出的算法相较现有算法对声呐图像有着更好的适用性,配准后的均方根误差与留一法均方根均小于1像素,达到了亚像素配准精度。
  • 图  1  声呐干涉测量原理示意图

    图  2  接收阵列同一时刻散射回波对应散射点示意

    图  3  算法流程图

    图  4  水池实验布放示意图

    图  5  水池实验塑料球目标配准结果对比

    图  6  外场试验模拟假人目标布放图

    图  7  外场试验声呐成像结果

    图  8  不同尺度空间特征点检测结果

    图  9  外场试验假人目标配准结果对比

    图  10  不同探测角度假人目标配准结果对比

    表  1  水池实验算法性能量化对比

    水池实验特征点RMSE(像素)$ {\text{RMS}}_{\text{LOO}} $(像素)时间(s)
    参考图像配准图像匹配点数
    BFSIFT356050.44651.18188.979
    GFSIFT31313//6.275
    SIFT+NDSS8173//7.1
    FPDE+RANSAC977380.86871.32208.012
    FPDE+FSC977370.73131.24787.978
    FPDE-SIFT9773140.41390.62927.372
    下载: 导出CSV

    表  2  外场试验算法性能量化对比

    外场试验特征点RMSE(像素)RMSLOO(像素)时间(s)
    参考图像配准图像匹配点数
    BFSIFT11914550.50441.86289.488
    GFSIFT625040.29343.82275.498
    SIFT+NDSS181940.33442.28316.683
    FPDE+RANSAC19121570.49071.20737.944
    FPDE+FSC19121560.33570.73787.443
    FPDE-SIFT191215100.28200.55127.167
    下载: 导出CSV

    表  3  不同探测角度算法性能量化对比

    探测角度(°)特征点RMSE
    (像素)
    RMSLOO
    (像素)
    参考图像配准图像匹配点数
    301299570.44140.7393
    45110161100.35230.7326
    601046260.43080.7872
    90162152110.49220.8178
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-04-26
  • 修回日期:  2023-09-04
  • 网络出版日期:  2023-09-07
  • 刊出日期:  2024-01-17

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