Opportunity Information: Apply for ONRBAA13 015
Apply for ONRBAA13 015
- The Office of Naval Research in the science and technology and other research and development sector is offering a public funding opportunity titled "Multi domain, Optical, Non uniform Adaptive Imaging Technology Oriented Research (MONITOR)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 12.300 Basic and Applied Scientific Research.
- This funding opportunity was created on May 13, 2013 and posted on May 13, 2013.
- Applicants must submit their applications by Sep 12, 2013 Refer to the BAA or application instructions for white paper due dates.. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $3,000,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 3 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:
The Office of Naval Research (ONR) funding opportunity titled Multi domain, Optical, Non uniform Adaptive Imaging Technology Oriented Research (MONITOR) focuses on a growing problem created by modern imaging sensors: they have become extremely capable, but they also generate overwhelming amounts of data. Over the past decade, visible and infrared imaging has advanced rapidly, moving from consumer-grade cameras with tens of megapixels to defense systems demonstrated by DARPA that can collect imagery on the order of a billion pixels (for example, ARGUS-IS and AWARE). Infrared systems are also pushing toward very large formats, encouraged by detector development efforts such as the tri-service VISTA program, with attempts like ARGUS-IR aiming at several hundred megapixels. At the same time, hyperspectral sensors that once required satellite-scale platforms are shrinking enough to be considered for tactical deployment on small and medium unmanned aerial vehicles, and polarization-sensitive imaging is increasingly valued because man-made objects and natural backgrounds often reflect light with measurably different polarization signatures, which can help with detection and identification.
The core motivation behind MONITOR is that these multi-domain imaging approaches (spatial, temporal, spectral, and polarization) dramatically increase the volume and complexity of what must be stored, processed, and transmitted. A single operational mission can generate multiple terabytes of data, which strains onboard computing, downlink bandwidth, and analyst workloads. ONR highlights a key observation: in wide-area sensing, most pixels are usually uninteresting most of the time. Large regions such as open sky, ocean, or uniform terrain often do not contain targets or actionable activity, yet they may still be captured at the same resolution and frame rate as areas that do contain relevant objects. Prior work has addressed this in the purely spatial/temporal sense by using variable-resolution or space-variant imaging strategies, where the system monitors broadly at coarse resolution and then selectively increases sampling (higher spatial detail and/or higher frame rate) only in regions of interest. This reduces data volume while preserving the ability to identify and track targets where it matters.
MONITOR’s main research goal is to extend that selective, adaptive sampling idea beyond just space and time and into multiple measurement domains, especially spectrum and polarization. In practical terms, ONR is seeking research and development of sensing systems that can decide where and when to collect finer-grained information not only in image detail and frame rate, but also in how densely they sample spectral bands and polarization states. The concept is to avoid expending sensor resources and data bandwidth on exhaustive multi-band or full polarization measurements across the entire field of view when only small portions of the scene may benefit from that richer characterization. The program is therefore aimed at adaptive, non-uniform measurement architectures that intelligently allocate sensing effort, potentially combining onboard processing, early detection/classification, and dynamic sensor control to concentrate the “best” measurements on likely targets and keep background coverage lighter.
From an administrative standpoint, the opportunity was released as ONRBAA13-015 under CFDA 12.300 (Basic and Applied Scientific Research). The instrument types listed include grant and procurement contract, with an estimated total funding amount of $3,000,000 and an expected three awards. There is no cost sharing or matching requirement, and eligibility is described as unrestricted (open to any entity type), subject to any additional clarifications in the full announcement. The posting date was May 13, 2013, with an original and current closing date of September 12, 2013, and an archive date of October 12, 2013. Applicants were directed to retrieve the full announcement through Grants.gov (using the “FULL ANNOUNCEMENT” link on the synopsis page), with separate contacts provided for technical questions (Program Officer Ravindra Athale) and business questions (Contract Specialist Rebecca Foster).
FAQs: ONR MONITOR (Multi domain, Optical, Non uniform Adaptive Imaging Technology Oriented Research)
1) What is the MONITOR funding opportunity?
MONITOR is an Office of Naval Research (ONR) funding opportunity focused on research and development for adaptive imaging systems that reduce overwhelming imaging data volumes by collecting the most detailed measurements only where they are needed.
2) What problem is ONR trying to solve with MONITOR?
Modern visible, infrared, hyperspectral, and polarization-sensitive imaging sensors can generate extremely large amounts of data (potentially multiple terabytes per mission). This strains onboard computing, downlink bandwidth, storage, and analyst workloads. MONITOR targets the mismatch between sensor capability and practical limits on data handling and exploitation.
3) Why does imaging data volume become so large in these systems?
Data volume increases because systems are collecting information across multiple domains at once: spatial detail (pixels), temporal sampling (frame rate), spectral sampling (many wavelength bands), and polarization sampling (different polarization states). As each domain becomes richer, the combined dataset grows rapidly in both size and complexity.
4) What kinds of imaging sensors and trends are motivating this program?
ONR describes rapid growth from consumer cameras with tens of megapixels to defense-scale demonstrations collecting imagery on the order of a billion pixels (examples cited include DARPA programs such as ARGUS-IS and AWARE). Infrared sensors are also moving toward very large detector formats, supported by efforts like the tri-service VISTA program, with attempts like ARGUS-IR aiming at several hundred megapixels. At the same time, hyperspectral sensors are shrinking enough to be considered for tactical deployment on small and medium unmanned aerial vehicles, and polarization-sensitive imaging is increasingly valued for distinguishing man-made objects from natural backgrounds.
5) What is meant by "multi-domain" in MONITOR?
In this context, "multi-domain" refers to sensing and measurement across spatial, temporal, spectral, and polarization domains. Instead of capturing only a standard image (space) at a given frame rate (time), multi-domain approaches may also capture many spectral bands (spectrum) and multiple polarization states (polarization).
6) What is the key observation about wide-area sensing that MONITOR relies on?
ONR highlights that, in wide-area sensing, most pixels are usually uninteresting most of the time. Large regions such as open sky, ocean, or uniform terrain often contain no targets or actionable activity, yet they may still be recorded at the same resolution and frame rate as more relevant regions.
7) What is "selective" or "adaptive" sampling in this program?
Selective/adaptive sampling means the system does not measure everything everywhere at the highest fidelity all the time. Instead, it monitors broadly at a coarser level and then increases sampling only in regions of interest. Historically this idea has been applied mainly to spatial detail and/or frame rate; MONITOR seeks to extend it into spectrum and polarization as well.
8) How does MONITOR extend prior variable-resolution or space-variant imaging work?
Prior approaches reduced data by varying spatial resolution and/or temporal sampling (frame rate), using coarse coverage for the full scene and richer measurement for selected regions. MONITOR aims to expand that concept to include non-uniform, adaptive selection of spectral bands and polarization states, not just pixels and frames.
9) What is the main research goal of MONITOR?
The main goal is to develop adaptive, non-uniform measurement architectures that intelligently decide where and when to collect finer-grained information across multiple domains, especially spectrum and polarization, while keeping background coverage lighter to manage total data volume.
10) What does ONR mean by "non-uniform measurement architectures"?
It refers to sensing approaches that allocate measurement effort unevenly across the field of view and across measurement types. Instead of exhaustively collecting dense spectral and full polarization data everywhere, the system concentrates its best (most informative, highest-fidelity) measurements on likely targets or regions of interest.
11) Why are spectrum and polarization specifically emphasized?
ONR emphasizes them because they can add strong discrimination power for detection and identification, but collecting dense hyperspectral data or full polarization information across an entire wide-area scene can be costly in data and resources. The program focus is on selectively using these richer measurements only where they provide real value.
12) What is the intended practical outcome of MONITOR research?
Based on the synopsis, the intended outcome is sensing systems that can reduce storage, processing, and transmission burdens by using onboard decision-making and dynamic sensor control to collect high-detail, high-value measurements on targets and lower-detail measurements on background areas.
13) Does MONITOR relate to onboard processing and dynamic sensor control?
Yes. The program description points to systems that may combine onboard processing, early detection/classification, and dynamic sensor control so that sensing resources are focused on likely targets rather than uniformly applied to the entire scene.
14) What is the solicitation identifier for this opportunity?
The opportunity was released as ONRBAA13-015.
15) What CFDA program is associated with this opportunity?
The synopsis lists CFDA 12.300, Basic and Applied Scientific Research.
16) What funding instrument types are mentioned?
The listed instrument types include a grant and a procurement contract.
17) What is the estimated total funding amount and number of expected awards?
The estimated total funding amount is $3,000,000, and ONR expected to make three awards.
18) Is cost sharing or matching required?
No. The synopsis states there is no cost sharing or matching requirement.
19) Who is eligible to apply?
Eligibility is described as unrestricted (open to any entity type), subject to any additional clarifications in the full announcement.
20) When was the opportunity posted and what were the closing dates?
The posting date was May 13, 2013. The original and current closing date was September 12, 2013. The archive date was October 12, 2013.
21) Where were applicants instructed to obtain the full announcement?
Applicants were directed to retrieve the full announcement through Grants.gov using the "FULL ANNOUNCEMENT" link on the synopsis page.
22) Who should be contacted for technical questions?
Technical questions were directed to the Program Officer, Ravindra Athale.
23) Who should be contacted for business questions?
Business questions were directed to the Contract Specialist, Rebecca Foster.
24) What is the basic strategy MONITOR promotes for handling wide-area imagery?
The strategy is to monitor broadly with lighter sampling and selectively increase measurement density (spatial, temporal, spectral, and polarization) only where the scene indicates likely targets or actionable activity, thereby reducing unnecessary data collection over uninformative regions.
25) Why does ONR mention open sky, ocean, and uniform terrain?
These are examples of scene regions that are often uninteresting in wide-area sensing. They illustrate why collecting full-resolution, full-rate, multi-band, and full-polarization data everywhere can be inefficient, and why adaptive measurement can reduce data volume without losing operationally relevant information.
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