Cognitive Maritime Imaging
Navy SBIR 2018.1 - Topic N181-066
NAVSEA - Mr. Dean Putnam - email@example.com
Opens: January 8, 2018 - Closes: February 7, 2018 (8:00 PM ET)
Battlespace, Electronics, Sensors
ACQUISITION PROGRAM: PMS 435,
Submarine Electromagnetic Systems
The technology within this
topic is restricted under the International Traffic in Arms Regulation (ITAR),
22 CFR Parts 120-130, which controls the export and import of defense-related
material and services, including export of sensitive technical data, or the
Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls
dual use items. Offerors must disclose any proposed use of foreign nationals
(FNs), their country(ies) of origin, the type of visa or work permit possessed,
and the statement of work (SOW) tasks intended for accomplishment by the FN(s)
in accordance with section 5.4.c.(8) of the Announcement. Offerors are advised
foreign nationals proposed to perform on this topic may be restricted due to
the technical data under US Export Control Laws.
OBJECTIVE: Develop a
cognitive algorithm that automatically analyzes 360-degree periscope imaging
and recommends optimal camera settings to the operator.
DESCRIPTION: The Integrated
Submarine Imaging System (ISIS) (AN/BVY-1) is the submarine system’s
Electro-optical/Infrared (EO/IR) periscope sensor suite with the associated
inboard hardware and software. The Advanced Processor Build (APB) program is
the current software modernization process for submarine combat systems. This
system and program provide for improvements to periscope photonic systems used
on U.S. Navy submarines. Current periscope photonic systems are manually
adjusted to achieve optimal performance when camera settings are properly set
and image enhancement algorithms are tuned to real-time environmental
conditions. However, current automatic camera settings for photonic cameras do
not properly account for all conditions experienced by submarine periscopes.
Specifically, submarine masts must function in all weather conditions. Many
maritime conditions such as overcast environments are rarely sought by
commercial photographers and are not included in commercially available
cameras. Automated image quality recognition with recommended settings for
improvement that covers all maritime conditions is needed. These
recommendations would include changing gain, exposure, gamma, and color
balance; insert polarizers and neutral density filters; and apply histogram
equalizations and local contrast enhancement. This would relieve periscope operators
of the need to continuously monitor image quality and make appropriate imaging
adjustments. Effective image enhancement automation would free operators to
examine imagery for contacts of interest and improve system performance to
detect, classify, and identify contacts.
PHASE I: Define and develop a
concept for a Cognitive Maritime Imaging capability, and demonstrate the
feasibility of that concept. The concepts for the capability must meet the
requirements discussed in the description. Demonstrate the feasibility of the concept
in meeting Navy needs and establish that the concept can be integrated into
Navy periscope imaging systems. Establish feasibility through analytical
modeling. The Phase I Option, if awarded, will include the initial design
specifications and capabilities description to build a prototype in Phase II.
Develop a Phase II plan.
PHASE II: Based on the
results of Phase I and the Phase II Statement of Work (SOW), develop and
deliver a software prototype of the Cognitive Maritime Imaging capability for evaluation.
Demonstrate the prototype’s capability in meeting the performance goals defined
in the description through prototype evaluation and modeling or analytical
methods. The demonstrations will take place at a Government- or
company-provided facility. Prepare a Phase III development plan to transition
the technology for Navy production and potential commercial use.
PHASE III DUAL USE
APPLICATIONS: Support the Government in transitioning the technology for Navy
use. The Cognitive Maritime Imaging capability implementation will show a
fully functional prototype that can be used in an operationally relevant
environment in the Integrated Submarine Imaging System (ISIS) system (AN/BVY-1)
through the Advanced Processor Build (APB) program.
1. Vollmerhausen, Richard H.
and Jacobs, Eddie. “The Targeting Task Performance (TTP) Metric - A New Model
for Predicting Target Acquisition Performance.” Modeling and Simulation
Division Night Vision and Electronic Sensors Directorate, Technical Report
AMSEL-NV-TR-230, April 20, 2004. http://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=ADA422493
2. Haykin, Simon. “Cognitive
Radar – A way of the future.” IEEE Signal Processing Magazine, January 2006. http://ieeexplore.ieee.org/document/1593335
KEYWORDS: Periscope Imaging;
Maritime Imaging; Cognitive Maritime Imaging; Image Quality Assessment at Sea;
Submarine Masts; Periscope Systems