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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Improved SNR Optimum Method in POLDINSAR Coherence Optimization
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Improved SNR Optimum Method in POLDINSAR Coherence Optimization

机译：POLDINSAR相干优化中的改进SNR优化方法

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摘要

The traditional methods for coherence optimization in the framework of multibaseline (MB) polarimetric differential interferometric synthetic aperture radar (DInSAR) applications, such as Best, MB1 equal scattering mechanism (MB1-ESM), suboptimum scattering mechanism (SOM), and exhaustive search polarimetric optimization (ESPO), all have some disadvantages. The MB2-ESM method just can be preferred for its normal accuracy and fast computing time. Signal–noise ratio optimum (SNR-OPT) in the coarse grid followed by the conjugated gradient method (SNR-OPT-CG-CGM) can be selected because of its higher accuracy and acceptable cost time. SNR-OPT has higher computational efficiency compared with ESPO because it makes the 4-D coherence optimization problem transform into two independent 2-D optimization problems (“2 $+$ 2” optimization problem). However, SNR-OPT still costs much time. In this letter, we propose a new method which can further make this “2 $+$ 2” optimization problem transform into one 2-D and two independent 1-D optimization problems (“ $2+1+1$” optimization problem). Thus, the computational efficiency will be improved much more compared with SNR-OPT, and meanwhile, the accuracy just decreases a little. Seven full polarimetric RADARSAT-2 images are taken for experiment, and the results also show that the improved SNR-OPT-CG-CGM method is a better method considering the tradeoff between computation time and accuracy compared with other methods for DINSAR applications.
机译：在多基线（MB）极化微分干涉合成孔径雷达（DInSAR）应用框架内进行相干优化的传统方法，例如Best，MB1等散射机制（MB1-ESM），次最佳散射机制（SOM）和穷举搜索极化优化（ESPO），都有一些缺点。 MB2-ESM方法因其通常的准确性和快速的计算时间而可能是首选。可以选择粗网格中的最佳信噪比（SNR-OPT），然后选择共轭梯度法（SNR-OPT-CG-CGM），因为它具有更高的准确性和可接受的成本时间。与ESPO相比，SNR-OPT具有更高的计算效率，因为它使4-D相干优化问题转换为两个独立的2-D优化问题（“ 2 $ + $ 2”优化问题）。但是，SNR-OPT仍然花费大量时间。在这封信中，我们提出了一种新方法，可以进一步使这个“ 2 $ + $ 2”优化问题转化为一个2-D和两个独立的一维优化问题（“ $ 2 + 1 + 1 $”优化问题）。因此，与SNR-OPT相比，计算效率将大大提高，同时，精度只会略有下降。拍摄了七张全极化RADARSAT-2图像进行实验，结果还表明，与DINSAR应用中的其他方法相比，改进的SNR-OPT-CG-CGM方法是一种在计算时间和精度之间进行权衡的更好方法。

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