Imaging through degraded visual environments is a challenging task in remote sensing missions. Image degradation may come from the loss of contrast due to particle scattering and/or distortion due to turbulence-induced effects. The problem is especially challenging when imaging from moving platforms such as autonomous underwater vehicles. One potential approach to address these issues is to use multiple images and employ a multi-frame image fusion technique to aid in the recovery of corrupted image detail and quality. A machine learning (ML)-based image enhancement and fusion technique is investigated to restore images distorted by underwater turbulence. The main contributions include the incorporation of a ML-based image weight predictor to predict the ideal weight maps to be used in an image fusion process. This network is trained using a generative adversarial network framework and a synthetically generated image dataset, which is created according to an analytical image degradation model. In addition, the image loss function for the weight map predictor is determined by the final fused image, resulting in a balanced fusion technique that can reduce image distortion, recover crisp image detail, and reduce the overall noise figure. Another key contribution of this paper is the adoption of an image loss function that incorporates an innovative combined correntropy and Fourier space loss function to reinforce the network in both the spatial and frequency domain. The performance of the proposed algorithm is evaluated using a synthetic validation dataset of images and several real datasets captured at the Naval Research Lab’s Simulated Turbulence and Turbidity Environment under various controlled turbulence intensities.
Optical propagation through turbulence remains a topic of active research and is critically important to the development of novel optical communication systems in both air and water. A widely used tool to study propagation through turbulence are laboratory tanks where optically active turbulence is generated through heating and cooling of the horizontal tank walls, akin to classic Rayleigh-Bénard convection. An important complement to the laboratory setup are numerical simulations that can supplement the sparser laboratory measurements through full fields of temperature and velocity. Such simulations can also provide phase screens for modeling of optical propagation through turbulence. We performed numerical simulations of different configurations of Rayleigh-Bénard turbulence tanks for comparison to other physical and numerical convective tanks. Results then provided the basis for optical modeling and the description of beam wander due to optical turbulence.
Numerical simulations of a Rayleigh-Bénard turbulent convective flow are examined to determine the optical and mechanical turbulence properties and resulting index of refraction and temperature structure function fields with the goal of understanding the propagation characteristics of a laser beam carrying orbital angular momentum. Beams carrying orbital angular momentum are a topic of interest for secure high data density free-space communications systems in both the atmosphere and underwater environment. The choice of Rayleigh-Bénard convection provides a highly controllable configuration for studying optical turbulence and once the flow reaches a steady state, it may be treated as homogeneous. With a well characterized turbulent state provided by the simulations, attention is focused on the mechanics of beam propagation through the turbulence. Simulations are performed using the open source computational fluid dynamics package OpenFoam, a finite volume solver, and an in-house developed code that uses spectral methods. In the case of each solver, the Boussinesq approximation is used to model buoyancy and both the Navier-Stokes equations and the thermal energy equation are simultaneously solved. The outcome from the two computational schemes will be cross compared for result fidelity, spatial resolution, and computation time. The initial effort will examine air as the working medium in a domain with dimensions of 0.5 m on a side and a height of 0.1 m.
Recent advances in technology, in particular soft robotics and micro-electronics, have renewed the interested in the impact of viscoelastic boundaries and active boundary modulation on hydrodynamic drag and boundary layer turbulence. Viscoelastic boundary materials, such as those found in dolphin skin, are known to have the potential to reduce boundary drag, by delaying the transition from laminar to turbulent flow in the boundary layer around the body and minimizing boundary layer turbulence. The possible mechanisms to reduce boundary layer turbulence include counteracting boundary layer coherent structures or impacting momentum transfer near the boundary. Actuating a deformable membrane in a channel flow allows the investigation of the impact of boundary actuation on boundary layer turbulence for a range of actuation parameters and flow channel speeds. We developed a deformable boundary and tested the system in channel flow, in direct contact with the water, actuating at various wave patterns and frequencies. The impact on boundary layer velocity was investigated with Particle Image Velocimetry, as well as numerical simulations (see companion paper). Boundary actuation is shown to impact the boundary layer velocity profile and near boundary momentum transfer. We characterize the parameter space most likely to reduce boundary layer turbulence in a natural environment, which could lead to more energy-efficient platforms and underwater vehicles.
The potential for hydrodynamic drag reduction using small-scale actuation to influence turbulent boundary layer flow is investigated. When coupled with lab data, numerical simulations allow for the most complete understanding of the effect of various parameters on boundary layer turbulence. Two computational fluid dynamics (CFD) model sets are created in COMSOL, a multiphysics software package, to compare to experimental data and inform future research in the flowSiTTE laminar-to-turbulent flow tank. Effects on boundary layer dynamics and turbulence are studied through the implementation of an actuated boundary along the tank lid, using a standing wave to counter shear stress streaks characteristic of fully developed boundary layer turbulence. Numerical velocity data from the tank lid model are consistent with laboratory data collected with Particle Image Velocimetry (PIV). Additionally, boundary layer actuation of transitional turbulence is studied by analyzing the formation and dampening of Tollmien-Schlichting (TS) waves on a NACA 0012 airfoil. Standing wave actuation with amplitudes of 10-100μm along the airfoil is shown to reduce hydrodynamic drag by up to 15% at a wide range of frequencies. Boundary actuation delays the formation of the separation layer along the airfoil’s trailing edge – the region of flow responsible for much of the airfoil’s drag – keeping the flow attached for nearly the entire chord length and significantly reducing pressure drag.
Laboratory instruments used to measure velocity within a fluid, such as Acoustic Doppler Velocimetry (ADV) or Particle Image Velocimetry (PIV), often only gather data at one or a few points in the fluid, if using ADV, or values within a plane, when PIV is used. To get a complete picture of the total shear stress inside a container for the study of coupled biophysical interaction and stress impact on phytoplankton cells, it is best to complement measurements with a numerical model. Since the total shear stress is the primary driver in mechanical bioluminescence production, it is important to be able to accurately quantify fluid flow and dynamics at small spatial and temporal scales across the fluid domain. In this work, the fluid domains of different laboratory beakers were studied. They were modeled in Solidworks, and exported into a multi-physics software package (COMSOL) to be solved numerically. A rotating domain setup was used, and solved with a multiphase computational fluid dynamics (CFD) model, using both laminar and turbulent flow, as well as various rotational velocities. We further compare the model data to individual data points from measurements using a fiber flow sensor, to verify the model and constrain the total shear stress within the container.
Marine animals are known to have developed adaptations to minimize drag and energy expenditure. Among these are passive material properties, such as the streamwise-aligned riblets found on shark skin, as well as the active modulation of the viscoelastic skin layer, which is thought to give dolphins their hydrodynamic edge. These adaptations serve to delay the transition from laminar to turbulent flow in the boundary layer around the body, minimize boundary layer turbulence, and reduce frictional drag. Transition to turbulence in the boundary layer happens via the development of two-dimensional instabilities, so-called Tollmien-Schlichting (TS) waves, which break down into fully developed turbulence. One mechanism to delay transition, is to counteract TS waves, reduce their amplitude, and delay their breakdown. This can be achieved by actively modulating a deformable membrane as part of the boundary near which the instabilities develop. We investigate boundary layer flow and transition to turbulence, and the effect of actuated boundaries, in a laminar to turbulent flow tank. To test the impact of a deformable boundary on the flow, a hydrofoil is outfitted with fluid chambers overlaid by an optical quality PDMS membrane, which can be actuated in response to the flow. Flow over the hydrofoil is visualized with dye experiments and quantified with Particle Image Velocimetry. The impact of boundary actuation, as well as different boundary materials, on the flow is characterized. Achieving a reduction of boundary layer turbulence on operational scales would have profound implications for platform energy efficiency, as well as signature and acoustic noise reduction.
Characterizing turbulent instabilities in transitional and developed turbulent boundary layers is of critical importance to the development of methods to suppress such instabilities, which has important implications for research into drag reduction and energy-efficient propulsion methods. This includes the cancellation of Tollmien-Schlichting (TS) waves in the transitional and the counteracting of large-scale coherent structures in the developed turbulent boundary layer. To efficiently respond to instabilities near a boundary, the instabilities have to be sensed and described with a high level of accuracy. We visualize and measure velocity fluctuations in a laminar to turbulent flow tank to study the development of TS waves for active cancellation and identify boundary layers streaks for the development of stabilization methods. The flow structure in the tank is described through dye experiments, Particle Image Velocimetry (PIV), novel high-frequency fiber-optics flow sensors, and Acoustic Doppler Velocimeters (ADV), with the goal of identifying TS waves in transitional turbulence, as well as boundary layer streaks in developed turbulence. The impact of passive elastic boundary materials on the flow is investigated to aid the development of active actuated membranes aimed at reducing boundary layer turbulence and drag. In addition to flow measurements from various sensors, we employ computational fluid dynamics (CFD) to emulate the laboratory setting and complement the measurements. The CFD representation of the laboratory tank is implemented as high-resolution large-eddy simulation with elastic boundary conditions simulating the compliant boundary. The combined setup is a critical tool in the ongoing development of methods for active boundary later control.
It is well known that elastic or compliant boundaries can have a stabilizing effect on boundary layer flow leading to a reduction in turbulence and frictional drag. This phenomenon has wide-ranging interdisciplinary applications from the study of energy-efficient propulsion to the study of blood flow through the cardiovascular system. While a substantial body of work exists on the theory of turbulent boundary layers and the transition of laminar to turbulent flow, it is equally important to measure in detail the flow near rigid and compliant boundaries to better understand the dynamics underlying the stabilizing effect and the reduction of turbulence. Recent advances in technology and computational resources have allowed the measurement and numerical simulation of boundary layer instabilities in unprecedented detail. We employ particle image velocimetry as well as high-frequency fiber-optics sensors to visualize and measure velocity and temperature fluctuations under various flow conditions: a laminar flow tank to study the development of Tollmien-Schlichting waves and the laboratory tank of the Simulated Turbulence and Turbidity Environment (SiTTE) to identify boundary layers streaks. The laboratory environments are complemented by computational fluid dynamics representations of the respective setups, implemented as high-resolution large-eddy simulation. The simulations provide spatial and temporal scales of boundary layer instabilities, allow the calculation of turbulence characteristics and add prediction capabilities. The combined approach allows the detailed characterization of boundary layer instabilities for a range of flow conditions, which is critical to improve our understanding of the impact of elastic boundaries, both active and passive, on boundary layer drag.
Lidar remote sensing based on visible wavelength is one of the only way to penetrate the water surface and to obtain range resolved information of the ocean surface mixed layer at the synoptic scale. Accurate measurement of the mixed layer properties is important for ocean weather forecast and to assist the optimal deployment of military assets. Turbulence within the mixed layer also plays an important role in climate variability as it also influences ocean heat storage and algae photosynthesis (Sverdrup 1953, Behrenfeld 2010).
As of today, mixed layer depth changes are represented in the models through various parameterizations constrained mostly by surface properties like wind speed, surface salinity and sea surface temperature. However, cooling by wind and rain can create strong gradients (0.5C) of temperature between the submillimeter surface layer and the subsurface layer (Soloviev and Lukas, 1997) which will manifest itself as a low temperature bias in the observations.
Temperature and salinity profiles are typically used to characterize the mixed layer variability (de Boyer Montégut et al. 2004) and are both key components of turbulence characterization (Hou 2009). Recently, several research groups have been investigating ocean temperature profiling with laser remote sensing based either on Brillouin (Fry 2012, Rudolf and Walther 2014) or Raman scattering (Artlett and Pask 2015, Lednev et al. 2016). It is the continuity of promising research that started decades ago (Leonard et al. 1979, Guagliardo and Dufilho 1980, Hirschberg et al. 1984) and can benefit from the current state of laser and detector technology.
One aspect of this research that has not been overlooked (Artlett and Pask 2012) but has yet to be revisited is the impact of temperature on vibrational Raman polarization (Chang and Young, 1972).
The TURBulence Ocean Lidar is an experimental system, aimed at characterizing underwater turbulence by examining various Stokes parameters. Its multispectral capability in both emission (based on an optical parametric oscillator) and detection (optical filters) provide flexibility to measure the polarization signature of both elastic and inelastic scattering.
We will present the characteristics of TURBOL and several results from our laboratory and field experiments with an emphasis on temperature profiling capabilities based on vibrational Raman polarization. We will also present other directions of research related to this activity.
Optical methods to communicate or sense in the ocean environment can be effected inhomogeneities in the index of refraction called optical turbulence. Beam wander introduced by optical turbulence is of particular interest for optical means relying on the propagation of a well-defined laser beam such as free space communication and laser line scan. Here we present a comprehensive study of beam propagation simulations, lab experiments, and field measurements of laser beams propagating through varying degrees of optical turbulence. For the computational part of the investigation a true end to end simulation was performed. Starting with a CFD simulation of Rayleigh–Bénard convection the temperature fields where converted to index of refraction phase screens which then where used to simulate the propagation of a focused Gaussian laser beam via the split-step Fourier method. Lab experiments where conducted using the same parameters as in the simulation using a good quality TEM00 beam and a CCD camera to record data. For the field experiments a Telescoping Ridged Underwater Sensor Structure (TRUSS) was equipped with a transmitter and a receiver capable of analyzing a multitude of laser beams simultaneously. The TRUSS was deployed in the Bahamas to record beam wander under weak optical turbulence conditions above and stronger optical turbulence conditions inside the thermocline. The data from the experimental and lab experiments are compared and the strength of the optical turbulence in terms of the structure parameter Cn2 are extracted. We also extract Cn2 from the TRUSS experiments and in doing so provide, for the first time, a quantitative estimate for the strength of optical turbulence in the ocean.
Particle image velocimetry (PIV) is a well-established tool to collect high-resolution velocity and turbulence data in the laboratory. PIV measurements are based on using a laser sheet to illuminate a flow seeded with small particles and taking quick successive images or image pairs of the illuminated particle field with a CCD or CMOS camera. The movement of the particles between images can be used to infer flow field velocities over an image area. During experiments at the Simulated Turbulence and Turbidity Environment (SiTTE) laboratory tank, we observed a marked influence of optical turbulence, i.e. strong temperature gradients leading to changes in the index of refraction, on particle imaging in PIV. The particles look blurred and have a “shooting star” appearance. PIV is routinely used in flows with very high temperature gradients, such as nuclear reactor cooling rods, but the optical path length is typically very short (on the order of cm), and no such effect is generally considered for measurements in liquids. We investigated the effect of optical turbulence on PIV imaging for various optical path lengths (0.5m to 2m) and turbulence strengths. Velocities from the PIV measurements were calculated using the algorithms provided within Dantec’s Dynamic Studio and compared to velocities from concurrent velocity point measurements with a Laser Doppler Velocimetry system. The results indicate that optical turbulence can affect PIV measurements in liquids, and that depending on the strength of the optical turbulence and path length, care needs to be taken to mediate this effect using appropriate post-processing techniques when inferring velocities from PIV data.
Laser beam propagation underwater is becoming an important research topic because of high demand for its potential applications. Namely, ability to image underwater at long distances is highly desired for scientific and military purposes, including submarine awareness, diver visibility, and mine detection. Optical communication in the ocean can provide covert data transmission with much higher rates than that available with acoustic techniques, and it is now desired for certain military and scientific applications that involve sending large quantities of data. Unfortunately underwater environment presents serious challenges for propagation of laser beams. Even in clean ocean water, the extinction due to absorption and scattering theoretically limit the useful range to few attenuation lengths. However, extending the laser light propagation range to the theoretical limit leads to significant beam distortions due to optical underwater turbulence. Experiments show that the magnitude of the distortions that are caused by water temperature and salinity fluctuations can significantly exceed the magnitude of the beam distortions due to atmospheric turbulence even for relatively short propagation distances. We are presenting direct measurements of optical underwater turbulence in controlled conditions of laboratory water tank using two separate techniques involving wavefront sensor and LED array. These independent approaches will enable development of underwater turbulence power spectrum model based directly on the spatial domain measurements and will lead to accurate predictions of underwater beam propagation.
Boundary layers around moving underwater vehicles or other platforms can be a limiting factor for optical communication. Turbulence in the boundary layer of a body moving through a stratified medium can lead to small variations in the index of refraction, which impede optical signals. As a first step towards investigating this boundary layer effect on underwater optics, we study the flow near the boundary in the Rayleigh-Bénard laboratory tank at the Naval Research Laboratory Stennis Space Center. The tank is set up to generate temperature-driven, i.e., convective turbulence, and allows control of the turbulence intensity. This controlled turbulence environment is complemented by computational fluid dynamics simulations to visualize and quantify multi-scale flow patterns. The boundary layer dynamics in the laboratory tank are quantified using a state-of-the-art Particle Image Velocimetry (PIV) system to examine the boundary layer velocities and turbulence parameters. The velocity fields and flow dynamics from the PIV are compared to the numerical model and show the model to accurately reproduce the velocity range and flow dynamics. The temperature variations and thus optical turbulence effects can then be inferred from the model temperature data. Optical turbulence is also visible in the raw data from the PIV system. The newly collected data are consistent with previously reported measurements from high-resolution Acoustic Doppler Velocimeter profilers (Nortek Vectrino), as well as fast thermistor probes and novel next-generation fiber-optics temperature sensors. This multi-level approach to studying optical turbulence near a boundary, combining in-situ measurements, optical techniques, and numerical simulations, can provide new insight and aid in mitigating turbulence impacts on underwater optical signal transmission.
Temperature measurement is one of the key quantifies in ocean research. Temperature variations on small and large scales are key to air-sea interactions and climate change, and also regulate circulation patterns, and heat exchange. The influence from rapid temperature changes within microstructures are can have strong impacts to optical and acoustical sensor performance. In this paper, we present an optical fiber sensor for the high-resolution and high-speed temperature profiling. The developed sensor consists of a thin piece of silicon wafer which forms a Fabry-Pérot interferometer (FPI) on the end of fiber. Due to the unique properties of silicon, such as large thermal diffusivity, notable thermo-optic effects and thermal expansion coefficients of silicon, the proposed sensor exhibits excellent sensitivity and fast response to temperature variation. The small mass of the tiny probe also contributes to a fast response due to the large surface-tovolume ratio. The high reflective index at infrared wavelength range and surface flatness of silicon endow the FPI a spectrum with high visibilities, leading to a superior temperature resolution along with a new data processing method developed by us. Experimental results indicate that the fiber-optic temperature sensor can achieve a temperature resolution better than 0.001°C with a sampling frequency as high as 2 kHz. In addition, the miniature footprint of the senor provide high spatial resolutions. Using this high performance thermometer, excellent characterization of the realtime temperature profile within the flow of water turbulence has been realized.
Temperature microstructure in the ocean can lead to localized changes in the index of refraction and can distort underwater electro-optical (EO) signal transmission. A similar phenomenon is well-known from atmospheric optics and generally referred to as “optical turbulence”. Though turbulent fluctuations in the ocean distort EO signal transmission and can impact various underwater applications, from diver visibility to active and passive remote sensing, there have been few studies investigating the subject. To provide a test bed for the study of impacts from turbulent flows on underwater EO signal transmission, and to examine and mitigate turbulence effects, we set up a laboratory turbulence environment allowing the variation of turbulence intensity. Convective turbulence is generated in a large Rayleigh- Bénard tank and the turbulent flow is quantified using high-resolution Acoustic Doppler Velocimeter profilers and fast thermistor probes. The turbulence measurements are complemented by computational fluid dynamics simulations of convective turbulence emulating the tank environment. These numerical simulations supplement the sparse laboratory measurements. The numerical data compared well to the laboratory data and both conformed to the Kolmogorov spectrum of turbulence and the Batchelor spectrum of temperature fluctuations. The controlled turbulence environment can be used to assess optical image degradation in the tank in relation to turbulence intensity, as well as to apply adaptive optics techniques. This innovative approach that combines optical techniques, turbulence measurements and numerical simulations can help understand how to mitigate the effects of turbulence impacts on underwater optical signal transmission, as well as advance optical techniques to probe oceanic processes.
The use of Adaptive Optics (AO) to correct for aberrations in a wavefront of propagating light has become customary for Astronomical applications and is now expanding to many other areas going from medical imaging to industrial applications. However, the propagation of light underwater has remained out of the main stream AO community for a variety of reasons, not least the shear difficulty of the situation. Our group has become a program that attempts to define under which circumstances such a correction could be envisioned. We take advantage of the NRL laboratory facility in Stennis, MS, where a large Plexiglas tank of water is equipped with heating and cooling plates that allow for a well measured thermal gradient that in turn generates different degrees of turbulence that can distort a propagating laser beam. In this paper we report on the preliminary findings of this ongoing program. The paper will describe the facility and the AO test-bed, the measurements made and some of the preliminary result.
The use of remote sensing techniques such as adaptive optics and image restoration post processing
to correct for aberrations in a wavefront of light propagating through turbulent environment has become customary
for many areas including astronomy, medical imaging, and industrial applications. EO imaging underwater has been
mainly concentrated on overcoming scattering effects rather than dealing with underwater turbulence. However, the
effects of turbulence have crucial impact over long image-transmission ranges and under extreme turbulence
conditions become important over path length of a few feet. Our group has developed a program that attempts to
define under which circumstances application of atmospheric remote sensing techniques could be envisioned. In our
experiments we employ the NRL Rayleigh–Bénard convection tank for simulated turbulence environment at Stennis
Space Center, MS. A 5m long water tank is equipped with heating and cooling plates that generate a well measured
thermal gradient that in turn produces various degrees of turbulence. The image or laser beam spot can be
propagated along the tank’s length where it is distorted by induced turbulence. In this work we report on the
experimental and theoretical findings of the ongoing program. The paper will introduce the experimental setup, the
techniques used, and the measurements made as well as describe novel methods for postprocessing and correction of
images degraded by underwater turbulence.
The use of Adaptive Optics (AO) to correct for aberrations in a wavefront of propagating light has become customary for Astronomical applications and is now expanding to many other areas going from medical imaging to industrial applications. However, the propagation of light underwater has remained out of the main stream AO community for a variety of reasons, not least the shear difficulty of the situation. Our group has become a program that attempts to define under which circumstances such a correction could be envisioned. We take advantage of the NRL laboratory facility in Stennis, MS, where a large Plexiglas tank of water is equipped with heating and cooling plates that allow for a well measured thermal gradient that in turn generates different degrees of turbulence that can distort a propagating laser beam. In this paper we report on the preliminary findings of this ongoing program. The paper will describe the facility and the AO test-bed, the measurements made and some of the preliminary result.
Underwater temperature and salinity microstructure can lead to localized changes in the index of refraction and can be a limiting factor in oceanic environments. This optical turbulence can affect electro-optical (EO) signal transmissions that impact various applications, from diver visibility to active and passive remote sensing. To quantify the scope of the impacts from turbulent flows on EO signal transmission, and to examine and mitigate turbulence effects, we perform experiments in a controlled turbulence environment allowing the variation of turbulence intensity. This controlled turbulence setup is implemented at the Naval Research Laboratory Stennis Space Center (NRLSSC). Convective turbulence is generated in a classical Rayleigh-Benard tank and the turbulent flow is quantified using a state-of-the-art suite of sensors that includes high-resolution Acoustic Doppler Velocimeter profilers and fast thermistor probes. The measurements are complemented by very high- resolution non-hydrostatic numerical simulations. These computational fluid dynamics simulations allow for a more complete characterization of the convective flow in the laboratory tank than would be provided by measurements alone. Optical image degradation in the tank is assessed in relation to turbulence intensity. The unique approach of integrating optical techniques, turbulence measurements and numerical simulations helps advance our understanding of how to mitigate the effects of turbulence impacts on underwater optical signal transmission, as well as of the use of optical techniques to probe oceanic processes.
The Bahamas Optical Turbulence Experiment (BOTEX) was conducted in the summer of 2011 to investigate the impact of turbulence on underwater optical imaging. Underwater optical properties can be affected by turbulence in the water, due to localized changes in the index of refraction. We discuss measurements of current velocity and temperature, made with a Nortek Vector Acoustic Doppler Velocimeter (ADV) and PME Conductivity- Temperature (CT) probe, as well as observations made with a Rockland Oceanographic Vertical Microstructure Profiler (VMP). The instruments were deployed in close proximity in the field and in the context of measurements of optical target clarity. Turbulent kinetic energy dissipation (TKED) and temperature dissipation (TD) rates are calculated from the ADV/CT measurements and compared to TKED and TD estimated from the data collected with the VMP. The results show reasonable agreement between the two methods; differences are attributed to turbulence patchiness and intermittence, as well as sampling challenges. The study also highlights the importance of collecting concurrent data on temperature, current velocity, and current shear to assess the turbulence impact on underwater optical properties.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.