Dr. Weilin W. Hou Profile

Dr. Weilin W. Hou

Oceanographer at US Naval Research Lab

SPIE Involvement:

Fellow status | Conference Chair | Author | Editor | Instructor

Area of Expertise:

ocean optics , underwater imaging , turbulence , remote sensing , numerical simulation , unmanned vehicle

Websites:

Company Website

Profile Summary

Weilin "Will" Hou is an oceanographer at the U. S. Naval Research Laboratory, and manages the Hydro Optics Sensors and Systems Section. He received his PhD from the College of Marine Science, University of South Florida in 1997. His research interests covers several areas in ocean sensing with optics techniques, with recent interests focusing on ocean turbulence, temperature and related sensor and techniques. Other areas of interests include ocean optics, underwater imaging, remote sensing especially lidar, numerical simulation, data management, instrumentation and platforms such as unmanned vehicles. He developed and chairs the annual SPIE Ocean Sensing and Monitoring conference since 2008, and teaches a short course on the related topics. He is the editor of 8 Proc. SPIE Vols, and author of the book "Ocean Sensing and Monitoring: Optics and Other Methods". He serves as an associate editor for the Journal of Applied Remote Sensing (JARS).

Job opening, research and employment opportunities:

1) Active Ocean Layer Sensing with Lidar

http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=64&ROPCD=641701&RONum=B7778

2) EO Imaging Applications in Oceanic Environments

http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=64&ROPCD=641701&RONum=B6900

Publications (50)

SPIE Journal Paper | August 17, 2017

Special Section Guest Editorial: Recent Advances in Geophysical Sensing of the Ocean: Remote and In Situ Methods

Hou, Weilin , Arnone, Robert

JARS Vol. 11 Issue 03

KEYWORDS: Remote sensing, In situ remote sensing, Sensors, Atmospheric modeling, Signal attenuation, Satellites, Water, Hyperspectral imaging, Unmanned aerial vehicles, Biosensing

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SPIE Conference Volume | June 20, 2017

Ocean Sensing and Monitoring IX

PROCEEDINGS ARTICLE | May 22, 2017

The development of an underwater pulsed compressive line sensing imaging system

Proc. SPIE. 10186, Ocean Sensing and Monitoring IX

KEYWORDS: Visual compression, Visualization, Environmental sensing, Image segmentation, Imaging systems, Spatial light modulators, Prototyping, Semiconductor lasers, Sensing systems, Compressed sensing, Digital micromirror devices, Turbulence, Underwater imaging, LIDAR

PROCEEDINGS ARTICLE | May 22, 2017

The impact of optical turbulence on particle image velocimetry

Proc. SPIE. 10186, Ocean Sensing and Monitoring IX

KEYWORDS: Liquids, CMOS cameras, Optical turbulence, Turbulence, Particles, Particle image velocimetry, Velocity measurements, CCD cameras, Refraction, Stars

SPIE Journal Paper | May 3, 2017

Integrating dynamic and distributed compressive sensing techniques to enhance image quality of the compressive line sensing system for unmanned aerial vehicles application

Ouyang, Bing , Hou, Weilin , Caimi, Frank , Dalgleish, Fraser , Vuorenkoski, Anni , Gong, Cuiling

JARS Vol. 11 Issue 03

KEYWORDS: Image quality, Digital image correlation, Compressed sensing, Imaging systems, Chromium, Backscatter, Image compression, Image restoration, Sensing systems, Unmanned aerial vehicles

SPIE Conference Volume | June 15, 2016

Ocean Sensing and Monitoring VIII

PROCEEDINGS ARTICLE | May 17, 2016

Experimental study of a DMD based compressive line sensing imaging system in the turbulence environment

Proc. SPIE. 9827, Ocean Sensing and Monitoring VIII

KEYWORDS: Turbulence, Imaging systems, Digital micromirror devices, Sensing systems, Optical turbulence, Digital micromirror devices, Environmental sensing, Prototyping, Receivers, Data acquisition, Image quality

PROCEEDINGS ARTICLE | May 17, 2016

Measurements of optical underwater turbulence under controlled conditions

Proc. SPIE. 9827, Ocean Sensing and Monitoring VIII

KEYWORDS: Atmospheric propagation, Geometrical optics, Ocean optics, Atmospheric propagation, Wavefront sensors, Wave propagation, Beam propagation method, Phase modulation, Turbulence, Modulation transfer functions, Light emitting diodes

PROCEEDINGS ARTICLE | May 17, 2016

Velocity fields and optical turbulence near the boundary in a strongly convective laboratory flow

Proc. SPIE. 9827, Ocean Sensing and Monitoring VIII

KEYWORDS: Turbulence, Temperature metrology, Optical turbulence, Computational fluid dynamics, Refraction, Data modeling, Particles, Radium, Computer simulations, Tumor growth modeling

PROCEEDINGS ARTICLE | May 12, 2016

A fiber-optic water flow sensor based on laser-heated silicon Fabry-Pérot cavity

Proc. SPIE. 9852, Fiber Optic Sensors and Applications XIII

KEYWORDS: Sensors, Fiber optics sensors, Single mode fibers, Fiber optics, Interferometers, Silicon, Semiconductor lasers, Optical fibers, Numerical simulations, Finite element methods

PROCEEDINGS ARTICLE | March 15, 2016

Experimental study of a DMD based compressive line sensing imaging system in the turbulence environment

Proc. SPIE. 9761, Emerging Digital Micromirror Device Based Systems and Applications VIII

KEYWORDS: Imaging systems, Turbulence, Digital micromirror devices, Sensing systems, Compressed sensing, Optical turbulence, Environmental sensing, LIDAR, Electro optical imaging, Compressive imaging, Prototyping, Receivers, Sensors, Scattering

SPIE Conference Volume | June 2, 2015

Ocean Sensing and Monitoring VII

PROCEEDINGS ARTICLE | May 19, 2015

Distributed compressive sensing vs. dynamic compressive sensing: improving the compressive line sensing imaging system through their integration

Proc. SPIE. 9459, Ocean Sensing and Monitoring VII

KEYWORDS: Compressed sensing, Imaging systems, Backscatter, Image compression, Scattering, Image quality, Sensing systems, Signal attenuation, Prototyping, Computer programming

PROCEEDINGS ARTICLE | May 19, 2015

A miniature fiber-optic sensor for high-resolution and high-speed temperature sensing in ocean environment

Proc. SPIE. 9459, Ocean Sensing and Monitoring VII

KEYWORDS: Silicon, Sensors, Turbulence, Fiber optics sensors, Temperature metrology, Head, Thermal optics, Environmental sensing, Ocean optics, Thermal effects

PROCEEDINGS ARTICLE | May 19, 2015

A controlled laboratory environment to study EO signal degradation due to underwater turbulence

Proc. SPIE. 9459, Ocean Sensing and Monitoring VII

KEYWORDS: Turbulence, Optical turbulence, Ocean optics, Numerical simulations, Data modeling, Temperature metrology, Refraction, Sensors, Adaptive optics, Optical testing

PROCEEDINGS ARTICLE | May 19, 2015

Ocean and polarization observations from active remote sensing: atmospheric and ocean science applications

Proc. SPIE. 9459, Ocean Sensing and Monitoring VII

KEYWORDS: Clouds, Ocean optics, LIDAR, Aerosols, Liquids, Calibration, Atmospheric particles, Atmospheric optics, Water, Analytical research

In the past few years, we have demonstrated how the surface return measured by the active instruments onboard CloudSat and CALIPSO could be used to retrieve the optical depth and backscatter phase function (lidar ratio) of aerosols and ice clouds. This methodology lead to the development of a data fusion product publicly available at the ICARE archive center using the Synergized Optical Depth of Aerosols and Ice Clouds (SODA & ICE) algorithm¹. This algorithm, also allowing to derive ocean surface wind speed, has been extended to include dense cloud surface return to analyze aerosol and cloud properties above such clouds. This low level data fusion of CALIPSO and CloudSat ocean surface echoes has been used by several researchers to explore different research paths. Among them, we can cite: • A new characterization of the lidar ratio of cirrus clouds² • The analysis of the precipitable water and development of a new Millimeter-Wave Propagation Model for the W-Band observations (EMPIRIMA³) • The analysis of the lidar ratio of sea-spray aerosols⁴, and of Aerosol multilayer lidar ratio and extinction⁵ • A contribution to the retrieval of the subsurface particulate backscatter coefficients of phytoplankton particles⁶ In this paper, we present the main features of SODA & ICE, summarizing some of the results obtained. This low level data fusion of CALIPSO and CloudSat ocean surface echoes has been used by several researchers to explore different research paths. Among them, we can cite: A new characterization of the lidar ratio of cirrus clouds² The analysis of the precipitable water and development of a new Millimeter-Wave Propagation Model for the W-Band observations (EMPIRIMA³) The analysis of the lidar ratio of sea-spray aerosols⁴, and of Aerosol multilayer lidar ratio and extinction⁵ A contribution to the retrieval of the subsurface particulate backscatter coefficients of phytoplankton particles⁶ In this paper, we present the main features of SODA & ICE, summarizing some of the results obtained.

PROCEEDINGS ARTICLE | May 14, 2015

Near-infrared compressive line sensing imaging system using individually addressable laser diode array

Proc. SPIE. 9484, Compressive Sensing IV

KEYWORDS: Digital micromirror devices, Spatial light modulators, Prototyping, Imaging systems, Semiconductor lasers, Image compression, Calibration, Sensors, Fiber optic illuminators, Receivers

PROCEEDINGS ARTICLE | May 13, 2015

Fiber optic anemometer based on silicon Fabry-Pérot interferometer

Proc. SPIE. 9480, Fiber Optic Sensors and Applications XII

KEYWORDS: Silicon, Sensors, Semiconductor lasers, Fiber optics sensors, Fiber optics, Fiber Bragg gratings, Interferometers, Infrared radiation, Silicon films, Fiber lasers

PROCEEDINGS ARTICLE | March 10, 2015

Wavefront sensing and analysis for underwater laser propagation

Proc. SPIE. 9335, Adaptive Optics and Wavefront Control for Biological Systems

KEYWORDS: Adaptive optics, Wavefront sensors, Laser beam propagation, Wavefronts, Turbulence, Point spread functions, Analytical research, Light wave propagation, Fourier transforms, Deconvolution

PROCEEDINGS ARTICLE | October 21, 2014

Correction methods for underwater turbulence degraded imaging

Proc. SPIE. 9242, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII

KEYWORDS: Turbulence, Image restoration, Adaptive optics, Underwater imaging, Image processing, Atmospheric propagation, Reconstruction algorithms, Speckle, Remote sensing, Image quality

SPIE Conference Volume | June 13, 2014

Ocean Sensing and Monitoring VI

PROCEEDINGS ARTICLE | June 4, 2014

Adaptive optics correction of a laser beam propagating underwater

Proc. SPIE. 9083, Micro- and Nanotechnology Sensors, Systems, and Applications VI

KEYWORDS: Adaptive optics, Turbulence, Laser beam propagation, Wavefront sensors, Point spread functions, Light wave propagation, Optical calibration, Analytical research, Wavefronts, Sensors

PROCEEDINGS ARTICLE | May 23, 2014

The impact of turbulent fluctuations on light propagation in a controlled environment

Proc. SPIE. 9111, Ocean Sensing and Monitoring VI

KEYWORDS: Turbulence, Optical turbulence, Ocean optics, Geometrical optics, Data modeling, Refraction, Numerical simulations, Integrated optics, Optical testing, Water

PROCEEDINGS ARTICLE | May 23, 2014

Overview of a hybrid underwater camera system

Proc. SPIE. 9111, Ocean Sensing and Monitoring VI

KEYWORDS: Cameras, Sensors, Signal attenuation, Imaging systems, Navigation systems, Image enhancement, Control systems, System integration, Visibility, Pulsed laser operation

PROCEEDINGS ARTICLE | May 23, 2014

Experimental studies of the compressive line sensing underwater serial imaging system

Proc. SPIE. 9111, Ocean Sensing and Monitoring VI

KEYWORDS: Digital micromirror devices, Imaging systems, Image compression, Sensing systems, Computer programming, Prototyping, Scattering, Image quality, Spatial light modulators, Image restoration

SPIE Journal Paper | May 21, 2014

Special Section Guest Editorial: Ocean Optics

Hou, Weilin

OE Vol. 53 Issue 05

KEYWORDS: Ocean optics, LIDAR, Sensors, Atmospheric modeling, Monte Carlo methods, Signal detection, Water, Analytical research, Scattering, Absorption

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SPIE Press Author | August 8, 2013

Ocean Sensing and Monitoring: Optics and Other Methods

Hou, Weilin

SPIE Conference Volume | June 10, 2013

Ocean Sensing and Monitoring V

PROCEEDINGS ARTICLE | June 3, 2013

Measurements of turbulent dissipation during the Bahamas Optical Turbulence Experiment

Proc. SPIE. 8724, Ocean Sensing and Monitoring V

KEYWORDS: Turbulence, Optical turbulence, Temperature metrology, Intelligence systems, Error analysis, Tongue, Velocity measurements, Tin, Ocean optics, Optical properties

PROCEEDINGS ARTICLE | June 3, 2013

In situ laser sensing of mixed layer turbulence

Proc. SPIE. 8724, Ocean Sensing and Monitoring V

KEYWORDS: LIDAR, Turbulence, Backscatter, Water, Sensors, Optical turbulence, Temperature metrology, Profiling, High speed cameras, Laser scattering

This paper will discuss and compare some recent oceanic test results from the Bahamas Optical Turbulence Exercise (BOTEX) cruise, where vertical profiling was conducted with both time-resolved laser backscatter measurements being acquired via a subsurface light detection and ranging (lidar) profiling instrument, and laser beam forward deflection measurements were acquired from a matrix of continuous wave (cw) laser beams (i.e. structured lighting) being imaged in the forward direction with a high speed camera over a one-way path, with both transmitter and camera firmly fixed on a rigid frame. From the latter, it was observed that when within a natural turbulent layer, the laser beams were being deflected from their still water location at the image plane, which was 8.8 meters distance from the laser dot matrix transmitter. As well as suggesting that the turbulent structures being encountered were predominately larger than the beam diameter, the magnitude of the deflection has been confirmed to correlate with the temperature dissipation rate. The profiling lidar measurements which were conducted in similar conditions, also used a narrow collimated laser beam in order to resolve small-scale spatial structure, but with the added attribute that sub-nanosecond short pulse temporal profile could potentially resolve small-scale vertical structure. In the clear waters of the Tongue of the Ocean in the Bahamas, it was hypothesized that the backscatter anomalies due to the effect of refractive index discontinuities (i.e. mixed layer turbulence) would be observable. The processed lidar data presented herein indicates that higher backscatter levels were observed in the regions of the water column which corresponded to higher turbulent mixing which occurs at the first and second themoclines. At the same test stations that the laser beam matrix and lidar measurements were conducted, turbulence measurements were made with two non-optical instruments, the Vertical Microstructure Profiler (VMP) and a 3D acoustical Doppler velocimeter with fast conductivity and temperature probes. The turbulence kinetic energy dissipation rate and the temperature dissipation rates were calculated from both these setups in order to characterize the physical environments and corroborate with the laser measurements. To further investigate the utility of elastic lidar in detecting small-scale turbulent structures, controlled laboratory experiments were also conducted, with the objective of concurrently acquiring both the laser beam spatial characteristics in the forward direction and the laser backscatter temporal profile from each transmitted sub-nanosecond pulse. An artificial refractive index discontinuity was generated in clear test tank conditions by placing a clean ice-filled carboy above the laser beam propagation path. The results from both field and laboratory experiments confirm our hypothesis that turbulent layers are detectable by lidar sensors, and motivates that more research and lidar instrumentation development is needed to better quantify turbulence, especially for mitigating associated performance degrading effects for the U.S. Navy’s next generation electro-optic (EO) systems, including active laser imaging and laser communications.

PROCEEDINGS ARTICLE | June 12, 2012

Bahamas Optical Turbulence Exercise (BOTEX): preliminary results

Proc. SPIE. 8372, Ocean Sensing and Monitoring IV

KEYWORDS: Turbulence, Optical turbulence, Ocean optics, Sensors, Scattering, Imaging systems, Particles, Water, Image transmission, High speed cameras

The Bahamas Optical Turbulence Exercise (BOTEX) was conducted in the coastal waters of Florida and the Bahamas from June 30 to July 12 2011, onboard the R/V FG Walton Smith. The primary objective of the BOTEX was to obtain field measurements of optical turbulence structures, in order to investigate the impacts of the naturally occurring turbulence on underwater imaging and optical beam propagation. In order to successfully image through optical turbulence structures in the water and examine their impacts on optical transmission, a high speed camera and targets (both active and passive) were mounted on a rigid frame to form the Image Measurement Assembly for Subsurface Turbulence (IMAST). To investigate the impacts on active imaging systems such as the laser line scan (LLS), the Telescoping Rigid Underwater Sensor Structure (TRUSS) was designed and implemented by Harbor Branch Oceanographic Institute. The experiments were designed to determine the resolution limits of LLS systems as a function of turbulence induced beam wander at the target. The impact of natural turbulence structures on lidar backscatter waveforms was also examined, by means of a telescopic receiver and a short pulse transmitter, co-located, on a vertical profiling frame. To include a wide range of water types in terms of optical and physical conditions, data was collected from four different locations. . Impacts from optical turbulence were observed under both strong and weak physical structures. Turbulence measurements were made by two instruments, the Vertical Microstructure Profiler (VMP) and a 3D acoustical Doppler velocimeter with fast conductivity and temperature probes, in close proximity in the field. Subsequently these were mounted on the IMAST during moored deployments. The turbulence kinetic energy dissipation rate and the temperature dissipation rates were calculated from both setups in order to characterize the physical environments and their impacts. Beam deflection by multiple point patterns are examined, using high speed camera recordings (300 to 1200 fps), in association with measured turbulence structures. Initial results confirmed our hypothesis that turbulence impacted optical transmissions. They also showed that more research will be needed to better quantify and mitigate such effects, especially for the U.S. Navy's next generation EO systems, including active imaging, lidar and optical communications.

SPIE Conference Volume | June 11, 2012

Ocean Sensing and Monitoring IV

SPIE Journal Paper | May 21, 2012

Restoration of turbulence degraded underwater images

Kanaev, Andrey , Smith, Leslie , Hou, Weilin , Woods, Sarah

OE Vol. 51 Issue 5

KEYWORDS: Optical flow, Image fusion, Turbulence, Algorithm development, Image restoration, Image quality, Image filtering, Spatial frequencies, Reconstruction algorithms, Water

PROCEEDINGS ARTICLE | September 28, 2011

Multi-frame underwater image restoration

Proc. SPIE. 8185, Electro-Optical and Infrared Systems: Technology and Applications VIII

KEYWORDS: Image fusion, Image restoration, Optical flow, Image quality, Algorithm development, Turbulence, Spatial frequencies, Motion estimation, Underwater imaging, Scattering

PROCEEDINGS ARTICLE | September 28, 2011

Assessing EO image degradation from underwater optical turbulence in natural waters

Proc. SPIE. 8185, Electro-Optical and Infrared Systems: Technology and Applications VIII

KEYWORDS: Turbulence, Optical turbulence, Modulation transfer functions, Water, Scattering, Particles, Image enhancement, Algorithm development, Optical flow, Visibility

PROCEEDINGS ARTICLE | May 5, 2011

Quantifying turbulence microstructure for improvement of underwater imaging

Proc. SPIE. 8030, Ocean Sensing and Monitoring III

KEYWORDS: Turbulence, Scattering, Underwater imaging, Light scattering, Sensors, Visibility, Temperature metrology, Target detection, Optical turbulence, Water

PROCEEDINGS ARTICLE | May 5, 2011

Automated detection and removal of cloud shadows on HICO images

Proc. SPIE. 8030, Ocean Sensing and Monitoring III

KEYWORDS: Clouds, Atmospheric corrections, Reflectivity, Sensors, Remote sensing, Detection and tracking algorithms, Ocean optics, Atmospheric optics, Water, Atmospheric sensing

PROCEEDINGS ARTICLE | May 5, 2011

Impacts of optical turbulence on underwater imaging

Proc. SPIE. 8030, Ocean Sensing and Monitoring III

KEYWORDS: Turbulence, Modulation transfer functions, Optical turbulence, Scattering, Water, Optical transfer functions, Underwater imaging, Optical properties, Laser scattering, Data modeling

SPIE Conference Volume | May 4, 2011

Ocean Sensing and Monitoring III

PROCEEDINGS ARTICLE | April 20, 2010

Image feature detection and matching in underwater conditions

Proc. SPIE. 7678, Ocean Sensing and Monitoring II

KEYWORDS: Sensors, Light scattering, Point spread functions, Underwater imaging, Scattering, Sensor performance, Detection and tracking algorithms, Radon, Target detection, Algorithm development

PROCEEDINGS ARTICLE | April 20, 2010

Glider optical measurements and BUFR format for data QC and storage

Proc. SPIE. 7678, Ocean Sensing and Monitoring II

KEYWORDS: Ocean optics, Data storage, Sensors, Optical testing, Remote sensing, Binary data, Data modeling, Environmental sensing, Optical sensors, Algorithm development

PROCEEDINGS ARTICLE | April 20, 2010

TPDSci.com: a continually updated monograph of selected topics in the optics of turbid media

Proc. SPIE. 7678, Ocean Sensing and Monitoring II

KEYWORDS: Particles, Ocean optics, Navigation systems, Near field optics, Signal detection, Sensors, Principal component analysis, Light scattering, Near field, Photodiodes

SPIE Conference Volume | April 20, 2010

Ocean Sensing and Monitoring II

PROCEEDINGS ARTICLE | April 29, 2009

Diver visibility: Why one cannot see as far?

Proc. SPIE. 7317, Ocean Sensing and Monitoring

KEYWORDS: Scattering, Turbulence, Visibility, Underwater imaging, Optical transfer functions, Particles, Spatial frequencies, Data modeling, Visual process modeling, Modulation

SPIE Conference Volume | April 29, 2009

Ocean Sensing and Monitoring

PROCEEDINGS ARTICLE | September 24, 2007

Imagery-derived modulation transfer function and its applications for underwater imaging

Proc. SPIE. 6696, Applications of Digital Image Processing XXX

KEYWORDS: Modulation transfer functions, Scattering, Imaging systems, Absorption, Point spread functions, Cameras, Optical properties, Polarization, Spatial frequencies, Signal to noise ratio

The main challenge working with underwater imagery results from both rapid decay of signals due to absorption, which leads to poor signal to noise returns, and the blurring caused by strong scattering by the water itself and constituents within, especially particulates. The modulation transfer function (MTF) of an optical system gives the detailed and precise information regarding the system behavior. Underwater imageries can be better restored with the knowledge of the system MTF or the point spread function (PSF), the Fourier transformed equivalent, extending the performance range as well as the information retrieval from underwater electro-optical system. This is critical in many civilian and military applications, including target and especially mine detection, search and rescue, and diver visibility. This effort utilizes test imageries obtained by the Laser Underwater Camera Imaging Enhancer (LUCIE) from Defense Research and Development Canada (DRDC), during an April-May 2006 trial experiment in Panama City, Florida. Imaging of a standard resolution chart with various spatial frequencies were taken underwater in a controlled optical environment, at varying distances. In-water optical properties during the experiment were measured, which included the absorption and attenuation coefficients, particle size distribution, and volume scattering function. Resulting images were preprocessed to enhance signal to noise ratio by averaging multiple frames, and to remove uneven illumination at target plane. The MTF of the medium was then derived from measurement of above imageries, subtracting the effect of the camera system. PSFs converted from the measured MTF were then used to restore the blurred imageries by different deconvolution methods. The effects of polarization from source to receiver on resulting MTFs were examined and we demonstrate that matching polarizations do enhance system transfer functions. This approach also shows promise in deriving medium optical properties including absorption and attenuation.

PROCEEDINGS ARTICLE | April 25, 2007

Objectively assessing underwater image quality for the purpose of automated restoration

Proc. SPIE. 6575, Visual Information Processing XVI

KEYWORDS: Image quality, Scattering, Modulation transfer functions, Image restoration, Wavelets, Image enhancement, Image compression, Wavelet transforms, Edge detection, Signal to noise ratio

PROCEEDINGS ARTICLE | February 6, 1997

Scattering phase function of very large particles in the ocean

Proc. SPIE. 2963, Ocean Optics XIII

KEYWORDS: Particles, Scattering, Mie scattering, Light scattering, Laser scattering, Scatter measurement, Water, Signal attenuation, Ocean optics, Multiple scattering

PROCEEDINGS ARTICLE | October 26, 1994

Some effects of the sensitivity threshold and spatial resolution of a particle imaging system on the shape of the measured particle size distribution

Proc. SPIE. 2258, Ocean Optics XII

KEYWORDS: Particles, Imaging systems, Ocean optics, Image resolution, Image processing, Video, Spherical lenses, Target detection, Spatial resolution, Digital image processing

PROCEEDINGS ARTICLE | December 31, 1992

Structured visible-diode-laser illumination for quantitative underwater imaging

Proc. SPIE. 1750, Ocean Optics XI

KEYWORDS: Particles, Laser sintering, Ocean optics, Signal attenuation, Semiconductor lasers, Geometrical optics, Video, Fluctuations and noise, Mirrors, Image processing

Showing 5 of 50 publications

Conference Committee Involvement (11)

Ocean Sensing and Monitoring X

15 April 2018 | Orlando, Florida, United States

Ocean Sensing and Monitoring IX

11 April 2017 | Anaheim, California, United States

Ocean Sensing and Monitoring VIII

19 April 2016 | Baltimore, Maryland, United States

Ocean Sensing and Monitoring VII

21 April 2015 | Baltimore, Maryland, United States

Ocean Sensing and Monitoring VII

20 April 2015 | Baltimore, Maryland, United States

Showing 5 of 11 published special sections

Course Instructor

SC1077: Ocean Sensing and Monitoring

This course covers basic principles and applications of optical oceanography. The course is aimed to provide background information for those interested in exploring processes involving the ocean using optical techniques, including sensing and monitoring via remotely (passive and active), as well as traditional in situ measurement and sampling approaches. A brief introduction of oceanography will be given, followed by ocean optics principles include scattering by both particles and optical turbulence, polarization and impacts on underwater imaging and communication, through theoretical frame work and examples. Typical sensors and platforms including unmanned underwater vehicles are introduced. Topics associated with data collection, processing, analysis, fusion and assimilation to ocean models are also discussed. This course can also be used as a refresher for recent advances in related areas. This course helps to understand apply to research and development efforts relevant to the maritime environment, in such issues as sea surface temperature sensing, underwater imaging, and remote sensing including water quality monitoring related to biological activities or extreme events, for example.

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