基于Armijo线搜索的布里渊散射谱图像降噪算法  

Brillouin Scattering Spectral Image Denoising Algorithm Based on Armijo Line Search

作　　者：尚秋峰[1] 秦文婕 胡雨婷 Shang Qiufeng;Qin Wenjie;Hu Yuting(Department of Electronic and Com m unication Engineering , North China Electric Power University ,Baoding , Hebei 071003, China)

机构地区：[1]华北电力大学电子与通信工程系

出　　处：《中国激光》2019年第9期212-218,共7页Chinese Journal of Lasers

基　　金：国家自然科学基金(61775057);河北省自然科学基金(E2019502179)

摘　　要：为提高布里渊光时域分析(BOTDA)系统的信噪比,减少累计平均次数,改善实时性的同时保障测量精度,提出了基于Armijo线搜索的BOTDA散射谱图像降噪算法。该算法从能量扩散的角度利用偏微分方程的各向异性保证降噪图像具有良好的边缘保持特性,基于图像的局部特征提高了传感系统的测量精度。运用Armijo回溯线搜索法自适应选取最速下降步长,对256次累计平均的BOTDA实验数据进行降噪处理,只需两步迭代,即可达到最佳降噪效果,有效减少了数据采集时间,提高了系统的实时性。To improve the signal-to-noise ratio of a Brillouin optical time-domain analysis (BOTDA) system, reduce the cumulative average number, and improve the real-time performance while ensuring measurement accuracy, a BOTDA scattering spectrum image denoising algorithm based on Armijo line search is proposed. The method uses the anisotropy of the partial differential equation from the perspective of energy diffusion to ensure that the noisereduced image has good edge-holding characteristics and improves the measurement accuracy of the sensing system based on local features. The Armijo retrospective search method is used to adaptively select the steepest descending step size, and 256 cumulative average BOTDA experimental data are denoised. The best noise reduction effect can be achieved in just two iterations, which effectively reduces data acquisition time, thereby improving the real-time performance of the system.

关 键 词：光纤光学 布里渊光时域分析 散射谱 图像 ARMIJO线搜索 降噪 

分 类 号：TN247[电子电信—物理电子学]