Dr. Weilin W. Hou
Oceanographer at US Naval Research Lab
SPIE Involvement:
Fellow status | Conference Chair | Journal Editorial Board Member | Author | Editor | Instructor
Area of Expertise:
ocean optics , underwater imaging , turbulence , remote sensing , numerical simulation , unmanned vehicle
Websites:
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 (51)

PROCEEDINGS ARTICLE | September 29, 2017
Proc. SPIE. 10425, Optics in Atmospheric Propagation and Adaptive Systems XX
KEYWORDS: Refractive index, Light emitting diodes, Scattering, Water, Laser scattering, Wave propagation, Turbulence, Motion models, Optical turbulence, Motion measurement

SPIE Journal Paper | August 17, 2017
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

SPIE Conference Volume | June 20, 2017

PROCEEDINGS ARTICLE | May 22, 2017
Proc. SPIE. 10186, Ocean Sensing and Monitoring IX
KEYWORDS: Stars, Particles, CCD cameras, Refraction, Turbulence, CMOS cameras, Velocity measurements, Optical turbulence, Particle image velocimetry, Liquids

PROCEEDINGS ARTICLE | May 22, 2017
Proc. SPIE. 10186, Ocean Sensing and Monitoring IX
KEYWORDS: Visualization, Imaging systems, LIDAR, Image segmentation, Semiconductor lasers, Spatial light modulators, Turbulence, Sensing systems, Digital micromirror devices, Underwater imaging, Environmental sensing, Prototyping, Visual compression, Compressed sensing

SPIE Journal Paper | May 3, 2017
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

Showing 5 of 51 publications
Conference Committee Involvement (10)
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 VI
6 May 2014 | Baltimore, Maryland, United States
Showing 5 of 10 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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