Comprehensive Surf Zone Modeling Tool
Navy STTR 2019.A - Topic N19A-T010
NAVSEA - Mr. Dean Putnam - firstname.lastname@example.org
Opens: January 8, 2019 - Closes: February 6, 2019 (8:00 PM ET)
Battlespace, Electronics, Sensors
ACQUISITION PROGRAM: Coastal
Battlefield Reconnaissance and Analysis (COBRA), PMS 495, Mine Warfare Program
OBJECTIVE: Research and
develop a comprehensive software Surf Zone scene generation, target insertion,
and sensor performance model.
DESCRIPTION: The Navy is
interested in technologies that facilitate automated target recognition
capabilities for previously unseen Surf Zone (SZ) environments and target
threats. Typically, algorithms are optimized based on available test data sets,
of which most is Beach Zone (BZ) data. This may hinder the assessment and
optimization of system performance in new environments and for new target
threats. Such constraints may lead to outliers in the operational performance
of the system when generalizations of past performance are extended to specific
unseen locales and target types. To address these issues, in lieu of conducting
numerous costly data collections, there is a need for a comprehensive system
model to generate images simulating those acquired in SZ environments and/or
with new target types. The technologies developed under this topic will
decrease costs by lowering the number of flight tests necessary for algorithm
development and enable performance estimations in areas of interest where
imagery is lacking. With costs for a SZ test approximately $750k and improving
modeling and simulation efforts, testing is the focus area for cost saving
efforts. This program’s technological contributions are the following: a tool
that inserts new target threats into existing multi-spectral images; a tool
that generates Coastal Battlefield Reconnaissance and Analysis (COBRA)
equivalent synthetic scenes from other airborne Intelligence, Surveillance, and
Reconnaissance (ISR) sensors imagery; and a radiometric model of COBRA’s
multi-spectral camera. Additionally, this capability will improve COBRA’s SZ
Probability of Detection (PD) and Probability of False Alarm (PFA), which are
COBRA Key Performance Parameters, against new target threats and environments.
PHASE I: Develop a concept
for a comprehensive SZ modeling tool. Prepare conceptual designs for each model
component, including target, SZ scene background, platform, and sensor.
Demonstrate the feasibility to generate a limited set of dynamic SZ scenes with
realistic radiometric properties. Develop a Phase II plan. The Phase I Option,
if exercised, will expand the SZ scenes to a wider variety of SZ conditions,
develop design specifications and capabilities description to build a
comprehensive modeling tool prototype solution in Phase II, and work with the
Navy to develop a list of potential test environments.
PHASE II: Based on the results
of Phase I and the Phase II Statement of Work (SOW), develop and deliver a
comprehensive modeling tool prototype, and evaluate the scene generation model
and radiometric models against previously collected imagery to determine
whether the models meet performance goals as defined. Ensure that the prototype
parameter will be at the mine-like object (MLO) level, as opposed to the
minefield level. Demonstrate model performance through prototype testing and
detailed analysis. Prepare a Phase III development plan to transition the
technology to Navy use.
PHASE III DUAL USE
APPLICATIONS: Support the Navy in transitioning the technology for Navy use on
the COBRA program by working closely with the current prime contractor to
integrate the technology. Utilize the models and software tools to improve
performance of the COBRA Block I System. Support updates to the COBRA Technical
Data Package (TDP) to support the Navy in transitioning the design and
technology into the COBRA Production baseline for future Navy use. Support the
Navy for test and validation to certify and qualify the system for Navy use.
1. "AN/DVS-1 Coastal
Battlefield Reconnaissance and Analysis (COBRA)." The US Navy – Fact
File. Last update 4 October 2017.
2. Shaw, G. and Burke, H.
“Spectral Imaging for Remote Sensing." Lincoln Laboratory Journal, Volume
14, No.1, pp. 3 – 28, 2003. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.69.1178&rep=rep1&type=pdf
3. Fanning, J., Halford, C.,
Jacobs, E., and Richardson, P. “Multispectral Imager Modeling." SPIE Vol
5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing, 2005.
4. Keen, Wayne, Tanner,
Michael, Coker, Charles, and Crow, Dennis. “GPU based synthetic scene
generation for maritime environments." SPIE Vol 7663, Technologies for
Synthetic Environments: Hardware-in-the-Loop Testing XV, 2010.
5. “The Digital Imaging and
Remote Sensing Image Generation Model.” The Digital Imaging and Remote Sensing
Laboratory at Rochester Institute of Technology. http://dirsig.org/
6. Song, C. and A. I.
Sirvientea, 2004, “A numerical study of breaking waves”, Physics of Fluids 16,
7. Liu, Y., 2012 “Numerical
study of strong free surface flow and breaking waves.” PhD thesis, The Johns
8. Wang, Z., Yang, J. &
Stern, F., 2016, “High-fidelity simulations of bubble, droplet and spray
formation in breaking waves.” J. Fluid Mech. 792, 307–327.
9. Miyata, H., et al., 1996,
“Numerical simulation of three-dimensional breaking waves, Journal of Marine
Science and Technology.” Volume 1, Issue 4, pp 183–197.
10. Lubin, P. & Glockner,
S. 2015 “Numerical simulations of three-dimensional plunging breaking waves:
generation and evolution of aerated vortex filaments.” J. Fluid Mech. 767,
11. Lubin, P., Glockner, S.,
Kimmoun, O. & Branger, H. 2011 “Numerical study of the hydrodynamics of
regular waves breaking over a sloping beach.” Eur. J. Mech. (B/Fluids) 30 (6),
KEYWORDS: Target Insertion;
Multispectral Scene Generation; Radiometric Sensor Model; Coastal Battlefield
Reconnaissance and Analysis (COBRA); Surf Zone Model; Active Sensor Model Based
on Specified Wavelength Interrogation