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Hierarchical quality-guided phase unwrapping algorithm

机译:分层质量导向相展开算法

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摘要

A hierarchical quality-guided phase unwrapping algorithm in a shared memory environment is proposed. First, the wrapped phase is divided into regular blocks, and local wrap counts of every block are obtained by a quality-guided strategy. Then, the gradient of the block wrap counts of adjacent blocks and the quality of every block are defined by the boundary local wrap counts of every block. Each block's data can be regarded as an abstract phase point, and the quality-guided strategy can be used again to solve the block wrap counts of each block. Finally, the absolute wrap counts of each phase point are obtained by adding local wrap counts and corresponding block wrap counts, and then the final unwrapped phase is obtained. The performance of the proposed algorithm is verified through an unwrapping experiment performed on simulated data and the real interferometric synthetic aperture sonar wrapped phase in a shared memory environment. The results show that the proposed method greatly improves phase unwrapping efficiency while maintaining the correctness of unwrapped results. (C) 2019 Optical Society of America
机译:提出了共享内存环境中的分层质量指导相位展开算法。首先,将包装相分为常规块,并且每个块的本地包装计数通过质量引导的策略获得。然后,由每个块的边界本地包装计数定义相邻块的块包裹数和每个块的质量的梯度。每个块的数据可以被视为抽象的相位点,并且可以再次使用质量引导的策略来解决每个块的块包装数。最后,通过添加本地包裹数和相应的块包裹计数来获得每个相点的绝对包数,然后获得最终未包装的阶段。通过对模拟数据的展开实验和在共享内存环境中的实际干涉性合成孔径声卡包装阶段进行识别所提出的算法的性能。结果表明,该方法大大提高了相位展开效率,同时保持了未包装的结果的正确性。 (c)2019年光学学会

著录项

  • 来源
    《Applied optics》 |2019年第19期|共8页
  • 作者单位

    Naval Univ Engn Elect Coll Engn 717 Jiefang Rd Wuhan 430033 Hubei Peoples R China;

    Naval Univ Engn Elect Coll Engn 717 Jiefang Rd Wuhan 430033 Hubei Peoples R China;

    Naval Univ Engn Elect Coll Engn 717 Jiefang Rd Wuhan 430033 Hubei Peoples R China;

    Naval Univ Engn Elect Coll Engn 717 Jiefang Rd Wuhan 430033 Hubei Peoples R China;

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  • 正文语种 eng
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