本文提出一种新的相位解缠方法。
相位解缠面临的困难之一是相位的不一致性。
An inconsistency is one of the engineering obstacles to unwrap phase.
并提出了卡尔曼滤波在相位解缠与噪声抑制中的一种新算法。
Therefore a new method of Kalman Filters used in phase unwrapping and noise restraining is proposed.
该文针对干涉SAR二维相位解缠问题，提出了一种利用贪婪算法提高解缠精度的新方法。
In order to improve the precision of phase unwrapping in InSAR data processing, a new method is presented based on iterative-weighted greedy algorithm.
相位解缠是SAR干涉测量数据处理中的一个关键步骤之一，解缠结果的好坏直接影响最终数字高程模型的精度。
Phase unwrapping is one of the key steps for the processing of InSAR data. The quality of the unwrapping results affects the final DEM directly.
由于多点回波叠加，叠掩区域的相位并不准确，而且在相位解缠中影响判别，因此对叠掩区域进行识别具有重要意义。
The interferometric phase of layover region is not accurate due to the superposition of multi-echo, it makes the discrimination difficult in phase unwrapping.
该算法对干涉相位图建立网络模型，将相位解缠的最小化问题转化为求网络最小费用问题，利用网络规划理论中成熟高效的算法求解。
This method changes the phase unwrapping problem into a kind of searching the minimum cost of a network which has mature and efficient methods in network theory.
该算法对干涉相位图建立网络模型，将相位解缠的最小化问题转化为求网络最小费用问题，利用网络规划理论中成熟高效的算法求解。
This method changes the phase unwrapping problem into a kind of searching the minimum cost of a network which has mature and efficient methods in network theory.
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