利用量化质量图和优先队列的快速相位解缠算法

A Fast Phase Unwrapping Algorithm Based on Quantized Quality Map and Priority Queue

  • 摘要: 提出了一种量化质量引导的快速相位解缠算法。在质量图中采用整数表示相应相位点的质量,引入由静态数组和双链表组成的优先队列,建立相位质量与静态数组下标的对应关系,利用双链表保存具有相同质量值的相位点,保证了所有相位点按照质量值的非递减顺序排列,极大地提高了传统质量引导相位解缠算法的效率。对InSAR和仿真InSAS数据的实验证明了该算法的高效性。

     

    Abstract: We propose a quantized quality-guided phase unwrapping algorithm.The quality values of the quality map are denoted by integers.A priority queue consisted of a static array and many doubly linked lists is introduced.The relation between the integral quality values and the indexes of the array is established and priority queue keeps all the pixels by their quantized quality in a non-decreasing order by maintaining the doubly linked lists in an increasing order.The tests performed on interferometric SAR data and simulated InSAS interferogram confirm the high efficiency of the proposed algorithm.

     

/

返回文章
返回