Abstract. An advanced algorithm is introduced to enhance the efficiency in measuring vegetation parameters using L-band polarimetric synthetic aperture radar interferometry data. In this method, the combination of the eigenvalue decomposition technique and the coherence matrix optimization method is to achieve higher accuracy for ground phase estimation. Then an exhaustive search method based on the optimal polarization coherence channel is developed to retrieve the forest parameters. To evaluate the effectiveness of this method, we first apply it to simulated data obtained from PolSARProSim software. Next, the experimental L-band single-baseline single-frequency polarimetric interferometric data are used to assess the applicability of the proposed method for the actual forest topography in Malaysia and Kudara, Lake Baikal, Russia. The obtained results indicate that the proposed algorithm significantly overcomes the disadvantages of the recently published methods.

中文翻译：

---

从极化合成孔径雷达干涉图像中提取植被和地形参数的体积相干函数优化方法

摘要。引入了一种先进的算法，以提高使用 L 波段极化合成孔径雷达干涉测量数据测量植被参数的效率。该方法将特征值分解技术与相干矩阵优化方法相结合，以实现更高的地相估计精度。然后开发了一种基于最优极化相干信道的穷举搜索方法来检索森林参数。为了评估该方法的有效性，我们首先将其应用于从 PolSARProSim 软件获得的模拟数据。接下来，使用实验性 L 波段单基线单频偏振干涉测量数据来评估所提出的方法对马来西亚和俄罗斯贝加尔湖库达拉实际森林地形的适用性。