Appl Opt. 2020 Oct 1;59(28):8638-8644. doi: 10.1364/AO.399766.
As forest terrain is complex, containing leaves and other obstacles, it is difficult to distinguish the signal of forest-fire smoke when using single-channel lidar. To address this difficulty, a scanning micropulse polarization lidar system is developed, and a new method to detect forest fires is proposed in this study. Based on the characteristics of the depolarization ratio of in-scene obstacles, a matrix is constructed to remove obstacle signals, which in turn reduces the misidentification rate. Artificial forest-fire tests are carried out to verify the correctness of the proposed method and the feasibility of early forest-fire detection using the scanning polarization lidar system. In the working mode, the developed polarizing lidar system can locate a forest fire within three minutes with the proposed method. The experimental results show that forest fires can be accurately detected in real time when using scanning polarization lidar.
由于森林地形复杂，包含树叶和其他障碍物，因此在使用单通道激光雷达时，很难区分森林火灾烟雾的信号。针对这一困难，本研究开发了一种扫描微脉冲偏振激光雷达系统，并提出了一种新的森林火灾检测方法。基于场景中障碍物退偏比的特征，构建了一个矩阵来去除障碍物信号，从而降低了误识别率。进行了人工林火试验，以验证所提出方法的正确性和使用扫描偏振激光雷达系统进行早期林火检测的可行性。在工作模式下，使用所提出的方法，开发的偏振激光雷达系统可以在三分钟内定位森林火灾。实验结果表明，使用扫描偏振激光雷达可以实时准确地检测森林火灾。
