ACTD LASER LINE SCAN SYSTEM

Similar documents
ELECTRO-OPTIC IDENTIFICATION SENSORS

Coastal Benthic Optical Properties Fluorescence Imaging Laser Line Scan Sensor

Coastal Benthic Optical Properties Fluorescence Imaging Laser Line Scan Sensor

Survey of a World War II Derelict Minefield with the Fluorescence Imaging Laser Line Scan Sensor

Optimal Exploitation of 3D Electro-Optic Identification Sensors for Mine Countermeasures

Electro-Optic Identification Research Program: Computer Aided Identification (CAI) and Automatic Target Recognition (ATR)

Bistatic Underwater Optical Imaging Using AUVs

Optimal Exploitation of 3D Electro-Optic Identification Sensors for Mine Countermeasures

Innovative 3D Visualization of Electro-optic Data for MCM

Durable Aircraft. February 7, 2011

LONG TERM GOALS OBJECTIVES

A Multi-Use Low-Cost, Integrated, Conductivity/Temperature Sensor

Underwater Intelligent Sensor Protection System

Remote Sediment Property From Chirp Data Collected During ASIAEX

Sonar Detection and Classification of Buried or Partially Buried Objects in Cluttered Environments Using UUVs

Satellite Observations of Nonlinear Internal Waves and Surface Signatures in the South China Sea

Modeling and Evaluation of Bi-Static Tracking In Very Shallow Water

Radar Detection of Marine Mammals

Marine Sensor/Autonomous Underwater Vehicle Integration Project

SA Joint USN/USMC Spectrum Conference. Gerry Fitzgerald. Organization: G036 Project: 0710V250-A1

Key Issues in Modulating Retroreflector Technology

GLOBAL POSITIONING SYSTEM SHIPBORNE REFERENCE SYSTEM

Technology Maturation Planning for the Autonomous Approach and Landing Capability (AALC) Program

Signal Processing Architectures for Ultra-Wideband Wide-Angle Synthetic Aperture Radar Applications

Evanescent Acoustic Wave Scattering by Targets and Diffraction by Ripples

Army Acoustics Needs

UNCLASSIFIED INTRODUCTION TO THE THEME: AIRBORNE ANTI-SUBMARINE WARFARE

Strategic Technical Baselines for UK Nuclear Clean-up Programmes. Presented by Brian Ensor Strategy and Engineering Manager NDA

Diver-Operated Instruments for In-Situ Measurement of Optical Properties

Investigation of Modulated Laser Techniques for Improved Underwater Imaging

NPAL Acoustic Noise Field Coherence and Broadband Full Field Processing

Neural Network-Based Hyperspectral Algorithms

Airborne Hyperspectral Remote Sensing

Combining High Dynamic Range Photography and High Range Resolution RADAR for Pre-discharge Threat Cues

AUVFEST 05 Quick Look Report of NPS Activities

Active Denial Array. Directed Energy. Technology, Modeling, and Assessment

Improving the Detection of Near Earth Objects for Ground Based Telescopes

Southern California 2011 Behavioral Response Study - Marine Mammal Monitoring Support

Solar Radar Experiments

August 9, Attached please find the progress report for ONR Contract N C-0230 for the period of January 20, 2015 to April 19, 2015.

U.S. Army Training and Doctrine Command (TRADOC) Virtual World Project

Acoustic Monitoring of Flow Through the Strait of Gibraltar: Data Analysis and Interpretation

Adaptive CFAR Performance Prediction in an Uncertain Environment

RF Performance Predictions for Real Time Shipboard Applications

Investigation of a Forward Looking Conformal Broadband Antenna for Airborne Wide Area Surveillance

Coherent distributed radar for highresolution

Department of Defense Partners in Flight

Automatic Payload Deployment System (APDS)

Robotics and Artificial Intelligence. Rodney Brooks Director, MIT Computer Science and Artificial Intelligence Laboratory CTO, irobot Corp

THE NATIONAL SHIPBUILDING RESEARCH PROGRAM

Non-Data Aided Doppler Shift Estimation for Underwater Acoustic Communication

COM DEV AIS Initiative. TEXAS II Meeting September 03, 2008 Ian D Souza

Application of Hybrid Lidar-Radar Technology to a Laser Line Scan System

Marine Mammal Acoustic Tracking from Adapting HARP Technologies

Argus Development and Support

Marine~4 Pbscl~ PHYS(O laboratory -Ip ISUt

REPORT DOCUMENTATION PAGE

A RENEWED SPIRIT OF DISCOVERY

A New Scheme for Acoustical Tomography of the Ocean

North Pacific Acoustic Laboratory (NPAL) Towed Array Measurements

Advancing Autonomy on Man Portable Robots. Brandon Sights SPAWAR Systems Center, San Diego May 14, 2008

South Atlantic Bight Synoptic Offshore Observational Network

THE NATIONAL SHIPBUILDING RESEARCH PROGRAM

Ocean Acoustics and Signal Processing for Robust Detection and Estimation

Transitioning the Opportune Landing Site System to Initial Operating Capability

Wavelength Division Multiplexing (WDM) Technology for Naval Air Applications

Range-Depth Tracking of Sounds from a Single-Point Deployment by Exploiting the Deep-Water Sound Speed Minimum

Department of Energy Technology Readiness Assessments Process Guide and Training Plan

THE NATIONAL SHIPBUILDING RESEARCH PROGRAM

Measurement of Ocean Spatial Coherence by Spaceborne Synthetic Aperture Radar

Acoustic Communications (ACOMMS) ATD

INTEGRATIVE MIGRATORY BIRD MANAGEMENT ON MILITARY BASES: THE ROLE OF RADAR ORNITHOLOGY

Synthetic Behavior for Small Unit Infantry: Basic Situational Awareness Infrastructure

JOCOTAS. Strategic Alliances: Government & Industry. Amy Soo Lagoon. JOCOTAS Chairman, Shelter Technology. Laura Biszko. Engineer

The Algorithm Theoretical Basis Document for the Atmospheric Delay Correction to GLAS Laser Altimeter Ranges

Fall 2014 SEI Research Review Aligning Acquisition Strategy and Software Architecture

3D Propagation and Geoacoustic Inversion Studies in the Mid-Atlantic Bight

Lattice Spacing Effect on Scan Loss for Bat-Wing Phased Array Antennas

LONG-TERM GOAL SCIENTIFIC OBJECTIVES

Mathematics, Information, and Life Sciences

ESME Workbench Enhancements

Loop-Dipole Antenna Modeling using the FEKO code

DESIGN AND CAPABILITIES OF AN ENHANCED NAVAL MINE WARFARE SIMULATION FRAMEWORK. Timothy E. Floore George H. Gilman

FAA Research and Development Efforts in SHM

Buttress Thread Machining Technical Report Summary Final Report Raytheon Missile Systems Company NCDMM Project # NP MAY 12, 2006

Sky Satellites: The Marine Corps Solution to its Over-The-Horizon Communication Problem

INTERDISCIPLINARY RESEARCH PROGRAM

REPORT DOCUMENTATION PAGE. Thermal transport and measurement of specific heat in artificially sculpted nanostructures. Dr. Mandar Madhokar Deshmukh

RECENT TIMING ACTIVITIES AT THE U.S. NAVAL RESEARCH LABORATORY

Fuzzy Logic Approach for Impact Source Identification in Ceramic Plates

Frequency Stabilization Using Matched Fabry-Perots as References

Student Independent Research Project : Evaluation of Thermal Voltage Converters Low-Frequency Errors

A Comparison of Two Computational Technologies for Digital Pulse Compression

Best Practices for Technology Transition. Technology Maturity Conference September 12, 2007

Hybrid QR Factorization Algorithm for High Performance Computing Architectures. Peter Vouras Naval Research Laboratory Radar Division

Acoustic Change Detection Using Sources of Opportunity

Modal Mapping in a Complex Shallow Water Environment

ADVANCED CONTROL FILTERING AND PREDICTION FOR PHASED ARRAYS IN DIRECTED ENERGY SYSTEMS

Acoustic Measurements of Tiny Optically Active Bubbles in the Upper Ocean

MATLAB Algorithms for Rapid Detection and Embedding of Palindrome and Emordnilap Electronic Watermarks in Simulated Chemical and Biological Image Data

Transcription:

LONG TERM GOALS ACTD LASER LINE SCAN SYSTEM Michael Strand Naval Surface Warfare Center Coastal Systems Station, Code R22 6703 West Highway 98 Panama City, FL 32407 email: strand_mike@ccmail.ncsc.navy.mil phone: 904-235-5457 fax: 904-234-4867 Award #: N0001497WX30366 The Electro-Optic Identification (EOID) Sensors project developed and tested the EOID Sensor, a high resolution underwater electro-optics imaging sensor designed for rapid visual identification of mines and mine-like contacts (MLCs). The EOID Sensor, in a stand-alone configuration, was successfully demonstrated to the fleet at the Combined Joint Task Force Exercise 1996 (CJTFEX96). The goal of the current project is to prepare the EOID Sensor for participation in the Joint Countermine Advanced Concept Technology Demonstration[1] (JCM ACTD). OBJECTIVES The Electro-Optic Identification (EOID) Sensor will be demonstrated in the JCM ACTD as part of the Advanced Sensors System[2]. The EOID Sensor will demonstrate rapid visual identification of MLCs detected and classified by sonar systems. The objective of this project is to prepare the EOID Sensor for participation in this ACTD. The EOID sensor, which was completed in early FY96, was designed to produce ¼ in pixels throughout a 70 degree field of view while operating at 4 knots. The underwater component of the EOID Sensor consists of a 28 inch long by 16.5 inch diameter pressure vessel, which is contained within a 32 inch long by 21 inch diameter wet hull. It contains a 500 mw laser and operates on < 300 Watts power. The sensor was designed to be deployable from a fiber-optically tethered UUV or from towed 21 diameter underwater platforms. For the JCM ACTD, the EOID sensor will be deployed in an active depressor towed by a Dolphin semi-submersible ROV. It will be in the Very Shallow Water (VSW) sensor package, along with a dual frequency (high and low) Synthetic Aperture Sonar (SAS) and a Seabat ahead looking sonar (ALS). The dual frequency SAS will provide detection, classification, and localization of MLCs with a very low false alarm rate. MLCs, detected and classified by the SAS, will then be identified using the EOID Sensor. The ALS will be used to reacquire the MLCs.

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 30 SEP 1997 4. TITLE AND SUBTITLE ACTD Laser Line Scan System 2. REPORT TYPE 3. DATES COVERED 00-00-1997 to 00-00-1997 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) Naval Surface Warfare Center Dahlgren Division,Coastal Systems Station /Code R22,6703 W. Highway 98,Panama City,FL,32407-7001 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 b. ABSTRACT c. THIS PAGE Same as Report (SAR) 18. NUMBER OF PAGES 4 19a. NAME OF RESPONSIBLE PERSON Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

In this deployment scenario, the Dolphin and the advanced sensors will be controlled from a MILVAN on a ship. For command and control there will be a slow twoway radio link between the MILVAN to the Dolphin. There will also be a microwave link from the Dolphin to the MILVAN for sensor data transmission. These links are much slower than the fiber-optic link the EOID Sensor was designed for. Significant sensor changes are required to adapt the sensor to deal with these lower data rates. APPROACH The EOID Sensor in its original configuration is fiber-optically connected with a topside real-time processor. The real-time processor handles the real-time control of the sensor, as well as performing real-time image processing and recording of the image data. For the ACTD, this high-speed fiber-optic data link must be replaced with the much lower data rate microwave and radio links. The active depressor towed by the Dolphin will contain a Gigaflop Embedded Multiprocessor (GEM) which will do the beam forming of the sonar data and will handle data communications with a computer system in the MILVAN. For the ACTD a single board computer dedicated to the EOID Sensor will be inserted into GEM. This single board computer will provide real time control of the EOID Sensor. Since the bandwidth of the microwave data link is smaller than the data rate of the EOID Sensor, decimated data from the EOID Sensor will be transmitted to the MILVAN in real time to be displayed and recorded. Full resolution EOID Sensor image data will be maintained in a circular buffer on the single board computer in GEM. Upon command, full resolution data from any segment of the circular buffer will be transmitted to the MILVAN at a rate the data link can support. The effect of these changes is that the functionality of the real-time processor will be split between a surface component and a remote component. In order to implement these changes it was necessary to design and fabricate new telemetry boards for the sensor. Substantial software changes were also required. The real time software was ported to the VxWorks real time operating system, to be compatible with GEM. WORK COMPLETED The changes outlined above were initiated in FY97, and will be completed in FY98. The new telemetry boards have been designed and fabricated. The software has been ported to VxWorks, and most of the new code has been written. The modified sensor is due back from the contractor in November. It will be tank tested in a standalone mode in December, followed by integration into GEM. Shakedown testing of the entire VSW package will be performed before the ACTD demonstration in May 1998. Several sensor deficiencies have also been corrected. This includes some software fixes (e.g., in the continuous recording mode, occasional data lines were lost), and correction of a scanner alignment problem. Upon sensor disassembly it was discovered that the alignment problem was due to crack in a mirror. This crack developed after

sensor assembly. A spare mirror had a similar crack, indicating a flaw in the manufacturing process for the mirrors. The sensor was repaired using a second spare mirror. RESULTS The tank testing, shakedown testing, and ACTD demonstration will provide the demonstrable results from this effort. IMPACT/APPLICATIONS The goal of the Electro-Optic Identification Sensors Project is to develop and demonstrate high-resolution underwater electro-optic (EO) imaging sensors for rapid visual identification of mines and mine-like contacts (MLCs). Identification of MLCs is a pressing Fleet need. During MCM operations, sonar contacts are classified as mine-like if they are sufficiently similar to signatures of mines. Each contact classified as mine-like must be identified as a mine or not a mine. During MCM operations in littoral areas, tens or even hundreds of MLCs must be identified. This time consuming identification process is performed by EOD divers or ROVs, and is the rate limiting step in many MCM operations. A method to provide rapid visual identification of MLCs would dramatically speed up such operations. The demonstration of the EOID Sensor to the Fleet at CJTFEX96[3] allowed the Fleet to directly evaluate the impact of deployment of EOID Sensors on MCM operations. Fleet assessment was overwhelmingly positive, as expressed in Naval messages[4,5]. The factor by which MCM operations would be accelerated through rapid visual identification with EOID Sensors was estimated in the first message. The second message includes the statement (U) STRONGLY CONCUR WITH REF A RECOMMENDATION TO PROCEED WITH EOID PROGRAM AND FIELD EOID SYSTEMS ASAP from COMINWARCOM. TRANSITIONS The Fleet has recommended immediate commencement of programs to field EOID Sensors as soon as possible. Deployment methods to support both Air MCM (AMCM) and Surface MCM (SMCM) have been requested. For AMCM, the EOID Sensor technology would be inserted into an AMCM tow body, such as the AN/AQS-14 or the AN/AQS-20, and deployed from a helicopter. This would allow identification of MLCs to proceed at AMCM speeds. To support SMCM, the EOID Sensor would be a part of the Remote Minehunting System (RMS) to allow rapid visual identification of MLCs detected and classified by the RMS sonars. This is very similar to what this project will demonstrate at the JCM ACTD in FY98. Both of these deployment methods are technically quite feasible. Both would have significant operational pay-offs. RMS is a funded program which plans to include an

EOID sensor type identification capability. A future AN/ASQ-XX airborne mine reconnaissance system will very likely include a similar EOID sensor type identification capability. EOID Sensor technology will transition to both programs. The EOID sensor will be utilized in the Mobile Underwater Debris Survey System (MUDSS) Program, PE 0603716D, sponsored by the Strategic Environmental Research and Development Program (SERDP), Dr. Ron DeMarco, ONR 331. The objectives of this program are to demonstrate technology for underwater surveys of Formerly Used Defense Sites for munitions and ordnance prior to environmental clean up of the sites. MUDSS plans to use a sensor suite consisting of acoustic, magnetic, and electro-optic sensors for this demonstration. This demonstration will take place in FY98 after the ACTD. RELATED PROJECTS This project will transition to the JCM Advanced Sensors ACTD[2] in FY98. The EOID sensor is part of the Mobile Underwater Debris Survey System[6] (MUDSS) Program, PE 0603716D, sponsored by the Strategic Environmental Research and Development Program (SERDP), Dr. Ron DeMarco, ONR 331. The EOID Sensor was developed by the Electro-Optic Identification Sensors Project[7], which also developed image processing and image enhancement algorithms[8,9] which will support the Advanced Sensors ACTD. REFERENCES 1. http://www.onr.navy.mil/sci_tech/ocean/jcm/jcm1.htm 2. http://www.onr.navy.mil/sci_tech/ocean/jcm/advsensr.htm 3. McCormick, J., and M. Strand 1996: Quick Look Report, Electro-Optic Mine Identification Sensor Demonstration in Conjunction with CJTFEX 96, CSS/TR-96/49 4. Naval message How to speed up mine countermeasure (MCM) operations (U) R140200Z May 96 COMCMRON TWO (C) 5. Naval message How to speed up mine countermeasure (MCM) operations (U) R041850Z Jun 96 COMINEWARCOM Corpus Christi TX (C).) 6. http://www.ncsc.navy.mil/css/projects/mudsstop.htm. 7. http://www.ncsc.navy.mil/css/projects/eoid.htm. 8. Nevis, A.J. 1997: Low Contrast Image Enhancement of Electro-Optic Data, SPIE Vol. 3079, pp 333-344. http://www.ncsc.navy.mil/css/papers/spie97lls.htm. 9. Nevis, A.J. 1997: Automated Image Enhancement for Laser Line Scan Data, CSS/TR- 97/.