Far-field laser spot image detection for use under atmospheric turbulence

Abstract. In wireless laser communication, the effects of atmospheric turbulence cause laser spots to appear as irregular speckles in the far-field plane, which may make automatic acquisition, pointing, and tracking systems unable to locate a spot position. We propose an innovative and precise anti-interference, spot-detection algorithm for far-field irregular speckles based on the intensity characteristics of the far-field spots. Before obtaining the spot center coordinates through two-dimensional vector space circle fitting, the proposed algorithm employs computer graphics combined with mathematical morphology to fill the connected domains and extracts light-spot edges using the Canny operator, thus resulting in an accurate detection of far-field spots. The algorithm validation, using an automated experimental platform (atmospheric turbulent refractive-index structure parameter Cn2 is 10  −  15  m  −  2/3), yields a detection threshold accuracy of 30 to 32 pixels (each pixel represents 3  μrad) for 10.2 km far-field spot images. The corresponding deviation satisfies the two-dimensional aiming platform for a minimum step distance of 17.45  μrad, verifying the feasibility and effectiveness of the algorithm.

[1]  Gholamreza Anbarjafari,et al.  Image illumination enhancement with an objective no-reference measure of illumination assessment based on Gaussian distribution mapping , 2015 .

[3]  K. Kiasaleh On the scintillation index of a multiwavelength Gaussian beam in a turbulent free-space optical communications channel. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[4]  Ting Sun,et al.  CMOS imager non-uniformity response correction-based high-accuracy spot target localization. , 2019, Applied optics.

[5]  Peng Zhou,et al.  Laser Spot Center Detection Based on Improved Circled Fitting Algorithm , 2018, 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC).

[6]  Sichen Lei,et al.  Spatial light coupled into a single-mode fiber by a Maksutov-Cassegrain antenna through atmospheric turbulence. , 2016, Applied optics.

[7]  Daniel L. Hutt,et al.  Modeling and measurements of atmospheric optical turbulence over land , 1999 .

[8]  Weijun Gao Boundary character based declining scanning-line filling algorithm , 2010, International Symposium on Precision Engineering Measurement and Instrumentation.

[9]  Aurelian Marcu,et al.  Adaptive Algorithm for Detecting Beam Center in High-Power Laser Transport Lines , 2018, 2018 IEEE Conference on Control Technology and Applications (CCTA).

[10]  Philippe Grosso,et al.  Charge-coupled devices combined with centroid algorithm for laser beam deviation measurements compared to a position-sensitive device , 2011 .

[11]  Mikhail A. Vorontsov,et al.  Analysis of the joint impact of atmospheric turbulence and refractivity on laser beam propagation , 2017 .

[12]  Propagation characteristics of optical vortex pulse in atmospheric turbulence , 2019, Optik.

[13]  Ruoyu Du,et al.  An improved region growing method for scalp and skull extraction based on mathematical morphology operations , 2011, 2011 4th International Congress on Image and Signal Processing.

[14]  Haibo Dong,et al.  Edge detection based on Retinex theory and wavelet multiscale product for mine images. , 2016, Applied optics.

[15]  Larry B. Stotts,et al.  Statistical detection of resolved targets in background clutter using optical/infrared imagery. , 2014, Applied optics.

[16]  Bahram Javidi,et al.  Optical sensing and detection in turbid water using multidimensional integral imaging. , 2018, Optics letters.

[17]  Laura Waller,et al.  Instability-driven recovery of diffused images. , 2011, Optics letters.

[18]  Daming Shi,et al.  Advanced Hough Transform Using A Multilayer Fractional Fourier Method , 2010, IEEE Transactions on Image Processing.

[19]  Heung-Kyu Lee,et al.  Median Filtered Image Restoration and Anti-Forensics Using Adversarial Networks , 2018, IEEE Signal Processing Letters.

[20]  Qingyu Hou,et al.  Improved infrared target-tracking algorithm based on mean shift. , 2012, Applied optics.

[21]  Diego Oliva,et al.  Image segmentation via multilevel thresholding using hybrid optimization algorithms , 2018, J. Electronic Imaging.

[22]  Qingming Luo,et al.  Fast blood flow visualization of high-resolution laser speckle imaging data using graphics processing unit. , 2008, Optics express.

[23]  Xizheng Ke,et al.  Analysis of a heterodyne detection system affected by irradiance and phase fluctuations in slant atmospheric turbulence. , 2018, Applied optics.

[24]  Harold T Yura,et al.  Level crossing statistics for optical beam wander in a turbulent atmosphere with applications to ground-to-space laser communications. , 2011, Applied optics.

[25]  X. Ke,et al.  Evolution of degree of polarization of partially coherent beams propagation in slant and horizontal atmospheric turbulence , 2018, Indian Journal of Physics.

[26]  Luciano G. Gavinho,et al.  Detection of white spot lesions by segmenting laser speckle images using computer vision methods , 2018, Lasers in Medical Science.

[27]  Bo Yan,et al.  Remote sensing image segmentation based on a robust fuzzy C-means algorithm improved by a parallel Lévy grey wolf algorithm. , 2019, Applied optics.

[28]  Arnold Tunick,et al.  Statistical analysis of optical turbulence intensity over a 2.33 km propagation path. , 2007, Optics express.

[29]  David G. Voelz,et al.  Computer simulations of optical turbulence in the weak- and strong-scattering regime: angle-of-arrival fluctuations obtained from ray optics and wave optics , 2018, Optical Engineering.