中性点是大气偏振模式的重要分布特征之一，在偏振光导航、大气环境监测、遥感探测等方面具有重要价值。在分析大气偏振模式的偏振度分布特性和中性线分布特性的基础上，提出了两种中性点检测识别方法，实现了对中性点的自动识别。实验结果表明，两种方法均实现了对实际大气偏振模式中性点的识别。其中，基于中性线相交特性的中性点识别方法具有较高的精度；基于偏振度分布的中性点识别方法具有较好的稳定性，在正午时分，优于基于中性线相交特性的中性点识别方法。综合运用两种方法，可以进一步提高对中性点的检测与识别精度。

Neutral points are one of important distribution characteristics of the atmospheric polarization pattern, which have important value on polarotactic navigation, atmospheric environmental monitoring, remote sensing, et al.. Based on the analysis of the degree of polarization′s and the neural line′s distribution characteristics, two recognition methods of neutral points are proposed. The experimental results show that, both of these methods can recognize the neutral points from the real atmospheric polarization pattern automatically and precisely. The recognition method based on the intersection features of the neutral lines has better algorithm performance. Meanwhile, the recognition method based on the distribution characteristics of the degree of polarization has better algorithm robustness, and has much better algorithm performance than the other method at the midday. By the integrated application of two methods, the accuracy of the neutral points recognition can be further improved.