Topic Categories
Topic Categories
3D Image Acquisition and Display: Technology, Perception and Applications (3D)
- 3D Sensing and Imaging Technologies — examples include
- Sensor Technologies for 3D Sensing and Imaging
- 3D Information Acquisition Methods and Optical Architectures as well as Engineering Designs
- LIDAR Sensing and Imaging
- Structured Illumination
- 3D Imaging in Scattering Media
- 3D Technology for Autonomous Driving and Intelligent Systems
- User Interface Technologies for 3D Systems such as Gaze Tracking, Depth Sensing, Motion Tracking, etc.
- Active and Tunable Optics for 3D Systems
- 3D Display and Visualization Technologies — examples include
- 3D Display Systems, including both Hardware and Software Technologies, such as Holographic, Light Field, Volumetric, as well as Stereoscopic Display Technologies
- Wearable Display Methods and Technologies, including Virtual and Augmented Reality Displays
- Image Processing for 3D Systems — examples include
- Image Processing for 3D Acquisition and Display Systems
- Deep Learning and Artificial Intelligence for 3D Acquisition and Display Systems
- Calibration and Registration
- Event-Based Systems for 3D Events
- Applications of 3D Image Acquisition or Display Technologies — examples include
- Virtual Reality and Augmented Reality Systems
- Autonomous Vehicles
- Defense and Security
- Healthcare Applications of 3D Technologies, including Biomedicine, Microscopy, Endoscopy, Medical and Scientific Visualization, etc.
- Emerging Optical Materials and Components for 3D Systems — examples include
- Flat Optics such as Meta Surfaces or Pancharatnam-Berry (PB) Phase Lens, etc.
- Gradient Index Materials and Applications in 3D Systems
- Perception, Human Factors and Visual Comfort of 3D Information Displays – examples include
- Depth-Cue Conflicts and Visual Fatigue in Stereoscopic or Volumetric Displays
- Metrics and Models for Visual Comfort in 3D Displays
- Task-Dependent Perception in Immersive 3D Environments / Human Factors for AR/VR Display
Adaptive Optics: Methods, Analysis and Applications (AO)
- AO Systems and Component Technologies
- Wavefront Sensing Methods
- Wavefront Correction Optics
- Reconstruction and Control Algorithms
- Sensorless AO
- Machine Learning and AI for AO
- Modeling and Characterization of AO Systems and Components
- Imaging and Focusing Through Scattering and Turbid Media
- Signal Processing Used in AO Implementations
- Applications of AO
Applied Industrial Spectroscopy (AIS)
- Precision Photonics for Agri-Food-Pharma and Sensing Air, Water and Climate Effects in the Industrial Era
- Smart Sensing in Agri-Food-Pharma and Soil Sensing
- Water Pollution and Regulatory Measurements
- Disease and Pathogen Detection
- Gas Sensing for Environmental and Energy Applications
- Extraction, Optimization, Calibration, Standardization of Energy Resources for Circular Economy
- Optimization, Calibration, Standardization of components, device, platforms and techniques
- Process Analytical Technologies
- Recycling of Industrial Materials
- Sensing for Newer Sustainable Energy Resources
- Extreme Industries and Sensing in Harsh Environments
- Hot Topics - Upcoming Trends in Industrial Sensing
- Cross-Platform High-Res Rapid Sensing: Acoustic, Microwave, mm-wave and THz to Thermal, LiDAR and Dual-Comb
- Artificial Intelligence/ Machine Learning (AI/ML) Driven Sensing
- Meta-Structures Driven Augmented Sensing Capability
Computational Optical Sensing and Imaging (COSI)
Fourier Transform Spectroscopy (FTS)
- Novel Interferometer Designs, including Imaging Spectrometers, Spatial-Spectral and Chip-Scale Interferometers
- Fourier Transform Spectrometers for Space Missions: Instrument Design, Scientific Objectives and Measurement Results
- Laser Frequency Combs and Dual-Comb Spectroscopy, Opening Up New Spectral Ranges, with Applications from Laboratory Studies to Sensing
- Advanced Laboratory Spectroscopy, Including Synchrotron-Based, Nano-, Nonlinear and Multidimensional FT Spectroscopy
- Applications in Fundamental Science, Including Astronomy, Atmospheric and Planetary Science, Trace Gas Detection
- Applications in Fusion Diagnostics and Industrial Monitoring
- Algorithmic and Data Processing Advances, Including Calibration, Instrument Modeling and Simulation and Artificial Intelligence
Hyperspectral/Multispectral Imaging and Sounding of the Environment (HISE)
- Atmospheric Sensing and Sounding
- Atmospheric Measurements and their Applications
- Modeling, and Compensation for Atmospheric Effects
- Air pollution and air quality monitoring
- Weather Prediction and Climate Modeling
- Aquatic Remote Sensing
- Water Quality Monitoring in Inland and Coastal Waters
- Phytoplankton Functional Group and Species Discrimination
- Harmful Algal Bloom Monitoring
- Determination of Concentrations of Physical and Biological Constituents in Water
- Bottom Type and Bottom Depth Determination in Shallow Water Environments
- Terrestrial Remote Sensing
- Precision Agriculture
- Species Discrimination and Mapping of Vegetation in Forests and Wetlands
- Soil Studies, Including Soil Classification, Soil Moisture Content, and Trafficability
- High-Resolution Imaging for Urban Planning and Development
- Cryospheric Remote Sensing
- Sea Ice Processes and Ice-Ocean Interactions
- Iceberg Drift Tracking and Monitoring
- Melt Pond Detection and Melt Process Characterization
- Radiative Transfer Modeling
- New Approaches for Computationally Efficient and Fast Radiative Transfer Modeling
- Vector Radiative Transfer Modeling Using Hyperspectral and Polarimetric Data
- Fast Radiative Transfer Through Dimensionality Reduction and Machine Learning Approaches
- Image Processing, Algorithm Development, and Machine Learning
- Innovative Signal and Digital Image Processing Techniques Including Image Segmentation, Pattern Recognition, and Neural Networks
- High-Resolution Data Analysis Using Artificial Intelligence and Machine Learning Techniques
- Dimensionality Reduction and Information Content Analysis
- Fusion with Active or Passive Sensors and Visualization Algorithms
- Spectral Inversion Techniques such as Unmixing, Deconvolution, Derivatives, Optimal Estimation, and Spectral Fingerprinting
- Industrial Applications
- Imaging and Sensing Applications in the Mining, Oil, and Gas Industries
- High-Resolution Imaging for Industrial Quality Analysis, Process Control and Material Identification
- Imaging and Sensing Technologies for Food Adulteration Monitoring
- Incident Response and Monitoring Applications
- Environmental Changes Due to Pandemics, Hurricanes, and Other Natural Disasters
- Thermal Sensing of Wildfires and Volcanoes
- Deployment of Imaging Technologies for Rapid Response to Natural Disasters/Events
- Sensor Development
- New Design, Development, and Sensor Characterization
- Planned and Recently Launched Operational Imaging and/or Sounding Systems
- Observing System Simulation Experiments
- Active Hyperspectral Imaging and LiDAR
Imaging Systems and Applications (IS)
Laser Applications to Chemical, Security and Environmental Analysis (LACSEA)
- New Technologies for Optical Sensing Applications
- Sources: Continuous Wave Sources, Pulsed and Modulated Lasers, High-Repetition-Rate Sources, Broadband Lasers, Ultrafast Lasers, Frequency Combs, etc.
- Detectors: Event-Based Cameras, High-Speed Imaging Systems, Tomography
- Chemical Sensing Methods
- Spectroscopic Sensing for Thermo-Chemical Analysis, Including Nonlinear Optical Techniques
- Combustion Environments and Industrial Process Monitoring for Real-Time Control
- Sensors for Sustainable Energy Systems
- Extension of Techniques Toward the VUV or THz Spectral Ranges
- Sensor Miniaturization, Ruggedization, and Sensing in Harsh Environments
- Security Applications
- Remote Sensing and Distributed Sensor Networks
- Miniaturization, Optical Lab-On-Chip Systems, and Silicon Photonics
- Industrial Security Monitoring and Industrial Process Control
- Machine-Learning Enabled Sensing Solutions
- Environmental Analysis
- Sensing of Gases, Aerosols, Particulates for Atmospheric Chemistry
- Advancements in LIDAR, Airborne Sensors, and Remote Sensing
- Urban, Rural and Volcanic Emission Measurements
- Low-Cost Sensing Solutions
Optical Sensors (Sensors)
Optics and Photonics for Sensing the Environment (ES)
- Novel Techniques for Environmental Sensing
- Frequency Comb Spectroscopy
- Supercontinuum Light Sources and Their Applications
- Integrated Photonic Sensors
- Fiber-Based Spectroscopic Sensors
- Low-Cost Optical Sensors and Their Networks
- New Technologies for Remote Observations
- Stable Isotopes and Radiocarbon
- Leveraging Data-Driven Methods for Optical Detection
- Observations for Environmental and Climate Research
- In-Situ Measurements of Air Pollutants and Greenhouse Gases
- Ground-Based Remote Sensing Techniques, E.G. LIDAR, DOAS and FTIR
- Satellite and Airborne Observations
- Large-Scale Observation Networks
- Aerosols and Aerosol Cloud Interactions
- Aqueous and Marine Environment
- Optical Methods for the Cryosphere, E.G. Ice Sheet, Sea Ice and Permafrost
- Monitoring of the Urban Environment
- Embracing Open Data and FAIR Principles
- Industrial and Agricultural Applications
- Applications in Wastewater Treatment, Oil and Gas, Waste Incineration, Renewable and Petrogenic Energy Production, Transportation, Etc.
- Process Quality Control
- Safety Applications
- Optical Techniques for Smart Agriculture
- Fenceline Monitoring
- Stand-Off and Extractive Detection of Plumes, Leaks and Fugitive Emissions
Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP)
- Optical Turbulence
- Distributed Volume Turbulence Characterization, Modeling and Simulation in Atmospheric and Oceanic Environments, Including Techniques Using Machine Learning
- Novel Techniques for Turbulence Mitigation and Compensation, Including Those Using Machine Learning
- Experimental Methods and Instrumentation for Atmospheric and Oceanic Turbulence Characterization, Including In Situ Measurements and Remote Sensing
- Empirical Turbulence Models and Their Comparisons to Numerical Modeling and Field Experiments
- Understanding the Impact of Optically Turbulent Media with Embedded Scatterers On Light Propagation Via Theory, Simulation, and Experimentation
- Novel Simulation Methods for Propagation Through Turbulence, Including Those Involving Scintillation and Anisoplanatism
- Novel Simulation Methods for Synthetic Imagery or Extended Scene Generation Through Turbulence
- Meteorological and Atmospheric/Oceanic Phenomena
- Phenomena of Interest in the Atmosphere and Ocean, Such as Non-Kolmogorov Turbulence, Anisotropy, Boundary Layer Processes, Aero-Optical Effects and Effects Due to Waves, Salinity and Vegetation
- Modeling and Measurement of Aerosols and Their Impact on Light Propagation, Including Thermal Blooming Effects
- Light Propagation
- Propagation of Optical and Electromagnetic Fields in the Atmosphere and Underwater
- Classical and Quantum Free-Space/ Underwater Optical Communications Through Turbulence
- Propagation of Structured Light Through Random Media, Including Applications in Free Space Optical Communications
- Understanding Optical Wavefront Aberration on Propagation Through Random Media Via Theory, Simulation, And Experimentation
- Conventional and Unconventional Imaging and Sensing Techniques in Random Media, Including Artificial Intelligence-Inspired Techniques
- Test Ranges and Systems
- Test Ranges, Laboratories and Unique Capabilities Around the World
- Novel Laser Systems for Directed Energy and Laser Communications Applications
