Increased Underwater Optical Imaging Performance Via Multiple Autonomous Underwater Vehicles

Similar documents
DEVELOPMENT OF A NOVEL MICROWAVE RADAR SYSTEM USING ANGULAR CORRELATION FOR THE DETECTION OF BURIED OBJECTS IN SANDY SOILS

DURIP: A Low-Light Photon-Calibrated High-Resolution Digital Camera Imaging System

Use of the Polarized Radiance Distribution Camera System in the RADYO Program

Use of the Polarized Radiance Distribution Camera System in the RADYO Program

Multi-Modal Communication

Shallow Ocean Bottom BRDF Prediction, Modeling, and Inversion via Simulation with Surface/Volume Data Derived from X-ray Tomography

Service Level Agreements: An Approach to Software Lifecycle Management. CDR Leonard Gaines Naval Supply Systems Command 29 January 2003

Shallow Ocean Bottom BRDF Prediction, Modeling, and Inversion via Simulation with Surface/Volume Data Derived from X-Ray Tomography

Polarized Downwelling Radiance Distribution Camera System

Vision Protection Army Technology Objective (ATO) Overview for GVSET VIP Day. Sensors from Laser Weapons Date: 17 Jul 09 UNCLASSIFIED

Advanced Numerical Methods for Numerical Weather Prediction

DoD Common Access Card Information Brief. Smart Card Project Managers Group

Technological Advances In Emergency Management

Kathleen Fisher Program Manager, Information Innovation Office

Using Model-Theoretic Invariants for Semantic Integration. Michael Gruninger NIST / Institute for Systems Research University of Maryland

3-D Forward Look and Forward Scan Sonar Systems LONG-TERM-GOALS OBJECTIVES APPROACH

LARGE AREA, REAL TIME INSPECTION OF ROCKET MOTORS USING A NOVEL HANDHELD ULTRASOUND CAMERA

2013 US State of Cybercrime Survey

Analysis of the In-Water and Sky Radiance Distribution Data Acquired During the Radyo Project

Application of Hydrodynamics and Dynamics Models for Efficient Operation of Modular Mini-AUVs in Shallow and Very-Shallow Waters

FUDSChem. Brian Jordan With the assistance of Deb Walker. Formerly Used Defense Site Chemistry Database. USACE-Albuquerque District.

Information, Decision, & Complex Networks AFOSR/RTC Overview

4. Lessons Learned in Introducing MBSE: 2009 to 2012

MODELING AND SIMULATION OF LIQUID MOLDING PROCESSES. Pavel Simacek Center for Composite Materials University of Delaware

75th Air Base Wing. Effective Data Stewarding Measures in Support of EESOH-MIS

Running CyberCIEGE on Linux without Windows

ARINC653 AADL Annex Update

Space and Missile Systems Center

Automation Middleware and Algorithms for Robotic Underwater Sensor Networks

Topology Control from Bottom to Top

Dr. Stuart Dickinson Dr. Donald H. Steinbrecher Naval Undersea Warfare Center, Newport, RI May 10, 2011

Dana Sinno MIT Lincoln Laboratory 244 Wood Street Lexington, MA phone:

Enhanced Predictability Through Lagrangian Observations and Analysis

Detection, Classification, & Identification of Objects in Cluttered Images

Empirically Based Analysis: The DDoS Case

Agile Modeling of Component Connections for Simulation and Design of Complex Vehicle Structures

Accuracy of Computed Water Surface Profiles

DATA COLLECTION AND TESTING TOOL: SAUDAS

A Comprehensive Model for Performance Prediction of Electro-Optical Systems

Defense Hotline Allegations Concerning Contractor-Invoiced Travel for U.S. Army Corps of Engineers' Contracts W912DY-10-D-0014 and W912DY-10-D-0024

REMOTE SENSING OF VERTICAL IOP STRUCTURE

Towards a Formal Pedigree Ontology for Level-One Sensor Fusion

Distributed Real-Time Embedded Video Processing

ENVIRONMENTAL MANAGEMENT SYSTEM WEB SITE (EMSWeb)

A Review of the 2007 Air Force Inaugural Sustainability Report

Concept of Operations Discussion Summary

Lessons Learned in Adapting a Software System to a Micro Computer

32nd Annual Precise Time and Time Interval (PTTI) Meeting. Ed Butterline Symmetricom San Jose, CA, USA. Abstract

High-Assurance Security/Safety on HPEC Systems: an Oxymoron?

Folded Shell Projectors and Virtual Optimization

ASSESSMENT OF A BAYESIAN MODEL AND TEST VALIDATION METHOD

An Update on CORBA Performance for HPEC Algorithms. Bill Beckwith Objective Interface Systems, Inc.

Wireless Connectivity of Swarms in Presence of Obstacles

Corrosion Prevention and Control Database. Bob Barbin 07 February 2011 ASETSDefense 2011

Radar Tomography of Moving Targets

Advanced Numerical Methods for Numerical Weather Prediction

Using Templates to Support Crisis Action Mission Planning

Compliant Baffle for Large Telescope Daylight Imaging. Stacie Williams Air Force Research Laboratory ABSTRACT

COMPUTATIONAL FLUID DYNAMICS (CFD) ANALYSIS AND DEVELOPMENT OF HALON- REPLACEMENT FIRE EXTINGUISHING SYSTEMS (PHASE II)

Architecting for Resiliency Army s Common Operating Environment (COE) SERC

Washington University

Increased Underwater Optical Imaging Performance via Multiple Autonomous Underwater Vehicles

Space and Missile Systems Center

NEW FINITE ELEMENT / MULTIBODY SYSTEM ALGORITHM FOR MODELING FLEXIBLE TRACKED VEHICLES

U.S. Army Research, Development and Engineering Command (IDAS) Briefer: Jason Morse ARMED Team Leader Ground System Survivability, TARDEC

Solid Modeling of Directed-Energy Systems

73rd MORSS CD Cover Page UNCLASSIFIED DISCLOSURE FORM CD Presentation

Stereo Vision Inside Tire

Web Site update. 21st HCAT Program Review Toronto, September 26, Keith Legg

SURVIVABILITY ENHANCED RUN-FLAT

Spacecraft Communications Payload (SCP) for Swampworks

AFRL-ML-WP-TM

Title: An Integrated Design Environment to Evaluate Power/Performance Tradeoffs for Sensor Network Applications 1

INTEGRATING LOCAL AND GLOBAL NAVIGATION IN UNMANNED GROUND VEHICLES

CASE STUDY: Using Field Programmable Gate Arrays in a Beowulf Cluster

Data Warehousing. HCAT Program Review Park City, UT July Keith Legg,

Balancing Transport and Physical Layers in Wireless Ad Hoc Networks: Jointly Optimal Congestion Control and Power Control

An Efficient Architecture for Ultra Long FFTs in FPGAs and ASICs

73rd MORSS CD Cover Page UNCLASSIFIED DISCLOSURE FORM CD Presentation

A Distributed Parallel Processing System for Command and Control Imagery

75 TH MORSS CD Cover Page. If you would like your presentation included in the 75 th MORSS Final Report CD it must :

Dr. ing. Rune Aasgaard SINTEF Applied Mathematics PO Box 124 Blindern N-0314 Oslo NORWAY

Setting the Standard for Real-Time Digital Signal Processing Pentek Seminar Series. Digital IF Standardization

ASPECTS OF USE OF CFD FOR UAV CONFIGURATION DESIGN

Cyber Threat Prioritization

Approaches to Improving Transmon Qubits

Terrain categorization using LIDAR and multi-spectral data

SCICEX Data Stewardship: FY2012 Report

Nationwide Automatic Identification System (NAIS) Overview. CG 939 Mr. E. G. Lockhart TEXAS II Conference 3 Sep 2008

New Dimensions in Microarchitecture Harnessing 3D Integration Technologies

SINOVIA An open approach for heterogeneous ISR systems inter-operability

A Multilevel Secure MapReduce Framework for Cross-Domain Information Sharing in the Cloud

Monte Carlo Techniques for Estimating Power in Aircraft T&E Tests. Todd Remund Dr. William Kitto EDWARDS AFB, CA. July 2011

The C2 Workstation and Data Replication over Disadvantaged Tactical Communication Links

US Army Industry Day Conference Boeing SBIR/STTR Program Overview

High Resolution Stereo Imaging System for Sediment Roughness Characterization

WaveNet: A Web-Based Metocean Data Access, Processing, and Analysis Tool; Part 3 CDIP Database

Speaker Verification Using SVM

Computer Aided Munitions Storage Planning

CENTER FOR ADVANCED ENERGY SYSTEM Rutgers University. Field Management for Industrial Assessment Centers Appointed By USDOE

Transcription:

DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Increased Underwater Optical Imaging Performance Via Multiple Autonomous Underwater Vehicles Jules S. Jaffe Scripps Institution of Oceanography University of California, San Diego La Jolla, CA 92093-0238 phone: (858) 534-6101 fax: (858) 534-7641 email: jules@mpl.ucsd.edu Award Number: N00014-07-1-0317 http://jaffeweb.ucsd.edu/ LONG-TERM GOALS The major long-term scientific goal of this program is to explore techniques for increasing the performance of underwater optical imaging systems using Autonomous Vehicles. OBJECTIVES The major goal of this project is to explore the possibility of using Multiple Autonomous Underwater Vehicles for increasing the performance of underwater optical imaging systems. The main objective, in this context, is to simulate the potential benefits that multiple vehicles can have in increasing the range, imaging footprint, and potentially 3-dimensional applications that can be afforded using this new approach. This report details the Year 3 efforts that proposed a new way for obtaining extended range images without the use of scanning hardware. The proposed imaging system would be deployable on Multiple AUVs with source and receivers separated by substantial lengths. APPROACH Introduction: In this year s efforts we have been focusing on refined processing of the data from the last year and also testing a new idea related to the use of structured illumination. Here, a method that uses parallel one or 2-dimensional structured illumination in order to create a light pattern that consists of multiple narrow beam illuminators is described. A schematic of the system is shown in Fig. 1. The envisioned system uses a range gated, very high power laser, a DLP projection system, and a camera that has the capability to capture an exposure over a very short time (ns). The composite system permits the collection of extended range images with better resolution than possible with typical range gated systems. In the case of the illuminating system, there currently exist commercial lasers that can output ~ 100 s of mj of power with relatively short (3 5 ns) transmit time. The short pulse duration produces a light pulse with a linear range dimension of ~ 1 m. This pulse is ideal for range-gated systems that operate at ranges of 5 10 m, a desirable altitude for rapid, and safe, scanning of the sea floor. The pulse is then reflected by a DLP projector system that can produce an illumination checkerboardlike pattern with bright illuminators separated by areas where no light was transmitted. At the next 1

Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 2009 2. REPORT TYPE 3. DATES COVERED 00-00-2009 to 00-00-2009 4. TITLE AND SUBTITLE Increased Underwater Optical Imaging Performance Via Multiple Autonomous Underwater Vehicles 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) University of California, San Diego,Scripps Institution of Oceanography,La Jolla,CA,92093-0238 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR S ACRONYM(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited 13. SUPPLEMENTARY NOTES 14. ABSTRACT 11. SPONSOR/MONITOR S REPORT NUMBER(S) 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT a. REPORT unclassified b. ABSTRACT unclassified c. THIS PAGE unclassified Same as Report (SAR) 18. NUMBER OF PAGES 6 19a. NAME OF RESPONSIBLE PERSON Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

pulse, the bright checks become dark and the dark checks become bright. The spacing between these illuminators is dependent on the scattering characteristics of the water. The less scatter there is, the closer the point illuminators are. The system is therefore adaptive in that the illumination patterns depend on water properties. Each of these illuminating beams simulates the effect of the narrow laser beam, however, their parallel implementation permits a much larger area to be illuminated, circumventing the need for laser scanning. The acquisition of the data by a range-gated camera insures that the backscattered light is eliminated. The sequentially obtained images are then spatially filtered, in order to increase resolution and then combined so that there are no gaps in the coverage. Laser Pulse Generation DLP Projection system NPulses Reflection from Target Acquisition by a Range Gated Camera Image Synthesis Fig 1. A squematic of the entire imaging system Background: The basic theory for image acquisition by laser line systems was considered previously. The article illustrates, that, as in a confocal optical imaging system, laser line scan systems can improve the resolution of an underwater imaging system via a resultant point spread function that is the square of the one-way point spread function. The overall imaging process can be representeed via the equation I(x,y ) = w RP,TR (x 1,y 1 :d) T(x 1,y 1,x,y ). ( 1) where I(x,y ) is the final output, T is the reflectance map of an image, and the operator w RP,TR (x 1,y 1 :d) is a weight function derived from the size of the input beam and the output aperture. As derived, if the input beam and the ouptut aperture, over which the function is integrated, are delta funcitons: w R (x 2,y 2 ) = δ( x 2,y 2 ) and w T (x 0,y 0 ) = δ( x 0,y 0 ), then and w RP (x 1,y 1 :d) = psf(x 1,y 1 :d) and w TP (x 1,y 1 :d) = psf(x 1,y 1 :d) (2) w RP,TR (x 1,y 1 :d) = psf(x 1,y 1 :d) psf(x 1,y 1 :d) = (psf(x 1,y 1 :d)) 2. (3) 2

a b Fig 2. (a) The one-dimensional geometry. (b) The two-dimensional geometry for the parallel illumination scheme. The equations highlight the advantages in using a narrow, collimated beam for illumination and a small, co-located aperture in that the overall point spread function of the system is the square of the medium point spread function (psf). Unfortunately, the price paid for this superior resolution is a slow scan rate as each pixel of the image must be scanned sequentially, one at a time. This has motivated the development of parallel illumination schemes that can maintain the advantages of equation (3) while decreasing the time required for the acquisition of a single image. In order to circumvent this problem in the case of underwater optical imaging, an idea was formulated that consists of illuminating the target with a grid of illumination points. The scheme can be used in either one or two dimensions as illustrated in Fig 2 (a) and (b). As can be seen, either a one or 2- dimensional array can be used. As a convenient way of performing this illumination, a DLP projection system can be used with a pulse gated laser illuminator. In this manner a range gated image can be formed. The system collects sequential images with each pulse of the laser and the images are then combined in order to create composite images for the entire field of view. One key aspect of the scheme is that the DLP array is used both for image illumination and also as a front end of a collection device. In this manner, the advantages of the confocal aspect can be maintained. Computer Simulations: To test the idea a set of simulations were performed that mimicked the geometry of the system. In all cases considered here, the one-dimensional scheme of Fig. 2a was used. The simulations consisted of computing a set of point-spread function that would be due to a target located at a given range in turbid water. The point spread functions were then convolved with arrays of delta functions in order to simulate the light that would be reflected from a striped target that would be incident on a camera. These reflection images were then multiplied by the identical set of delta functions in order to compute a single instance of the propagation of the round trip light. The single variable used was the spacing (in angle) between the output and input delta function arrays. Note that when the spacing is a value of one this corresponds to the conventional case where a continuous sheet 3

or wedge of light was used. In the case that the spacing is equal to the number of lateral elements in the array, the situation corresponds to that of the conventional laser line scan system. The total number of laser pulses that the system needs to project is equal to the distance in resolution elements. So, for example, in the case where the distance is one, the total number of pulses is equal to one. If the distance between the projections is equal to the total number of resolution elements, then, as in a typical line scan, the total number of pulses is equal to the number of resolution elements. The computer simulations were performed with a program that was authored by E. Zege and colleagues and follows the formulation of image formation. The parameters were adapted to mimic the conditions that would be found in bay water where the total attenuation coefficient: c is.5m (ie 2 meter water) and the single scattering albedo (b/c) is equal to.83. A single line through the two-dimensional reflectance map (Fig 3.) was used. The map consists of a series of light and dark stripes on with varying resolution. The simulations were performed at a range of 1, 3, 5, and 7 total attenuation lengths at ranges were 2, 6, 10, and 14 m. One attenuation length is easily obtained in most imaging systems, three starts to be quite challenging and necessitates some mediation of the backscatter, which dominates in many circumstances. Fig 3. The two-dimensional reflectance map used for the study. A range-gated system, as considered here, can suppress the backscatter via temporal gating out of the near field scattered signal. In this case, three attenuation lengths, with adequate dynamic range and illumination strength is quite obtainable. Five attenuation lengths starts to get quite difficult for any system as the forward angle scatter will start to degrade the images. Some remediation of forward scattered light is compulsory in this case if adequate resolution is desired. Seven attenuation lengths is the most challenging situation considered here. To the knowledge of this author, it has not been achieved in the field. RESULTS Fig. 4 contains the results of the computer simulation as a function of both range and also the distance between the illumination spots. Fig. 4a shows a distance of one and is identical to projecting a sheet of light onto a target while imaging the reflected light with a one dimensional array. Fig 4 b shows a distance of 5 spaces between the beams. Fig 4c shows 20 spaces and Fig 4d shows 100 spaces. In all cases, the contrast of the stripes increased as the spacing between the incident beams increased. As expected, imaging at 3 attenuation lengths was possible for all beam spacing, from the smallest to the largest with negligible increase in contrast as the beam spacing was increased. In the case of the 5 4

attenuation length range (green graphs), the contrast nearly doubled as the spacing was increased from 1 (case a) to 5 (case b). If 5 attenuation length ranges are acceptable, using the considered method with a set of 5 pulses is desirable. Surely, the most startling increase in contrast occurred for the 7- attenuation length case. Note that at 20 spaces, the images at 7 attenuation lengths are starting to show promise, whereas at 100 spaces, the images will be quite good. This is not surprising as the case of 100 spaces is nearly identical to the original laser line scan system that would correspond to 256 spaces. a b c V. CONCLUSIONS d Fig 4. Results of the computer simulations for the one-dimensional case shown in Fig 2(a). Each set of four graphs shows 1, 3, 5, and 7 attenuation lengths (2m, 6m, 10m, and 14m), clockwise. (a) A single space between incident and receive beams. (b) Five spaces between incident and receive beams. (c) Twenty spaces between incident and receive beams. (d) One hundred spaces between incident and receive beams. 5

IMPACT The development of extended viewing systems that do not use moving parts and have the capability for collecting two-dimensional images would be a significant advance. RELATED PROJECTS This project is related to, and takes advantage of some of the resources provided by our other ONR funded project: Development of a Laser Line Scan LIDAR Imaging System for AUV Use. 6