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Ashland, OR, United States

Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 79.99K | Year: 2012

To support the Navy's requirements for low-noise magnetic sensing from small unmanned aerial vehicles (UAVs), we present effective methods for suppressing platform and external interferences. We propose to develop a comprehensive magnetic compensation system that heavily leverages a number of innovations, experience, and on-going work by our team. Our approach combines thorough characterizations of candidate Tier I and/or Tier II UAVs with full-spectrum noise cancellation algorithms and miniaturized sensor and electronics amenable to future installation on in-service unmanned Navy assets. The resulting technology will maximize the potential use of advanced implementations of digital filtering and compensation software fed by new chip-scale vector magnetic sensors.


Grant
Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 149.94K | Year: 2011

US oil shale reserves contain a vast carbon energy source which if produced in an economically feasible and environmentally safe manner - would provide part of the solution for future US energy needs. While no commercial production of oil shales currently occurs, in situ retorting is generally regarded as the most likely approach. Optimal and environmentally safe in situ retorting will require knowledge and understanding of the retort related processes. Currently no feasible technologies exist which allow direct volumetric monitoring of complex retort processes. As temperature is a major driver and control on such processes the knowledge of spatiotemporal variability in temperature would be of substantial value in the effort to understand processes. Under this proposal Sky Research in collaboration with Idaho National Laboratory scientists will demonstrate the feasibility of a methodology to obtain oil shale retorting temperatures from geophysical data. If this proposal is successful, it would lead to commercial methods for spatiotemporal subsurface temperature monitoring. Such methods would provide part of the needed solution for oil shale retorting and make retorting both commercially and environmentally more feasible


Grant
Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 149.94K | Year: 2011

The ability to effectively use large amount of automatically collected geophysical and hydrological data is relevant for both operational (clean up related) and scientific Department of Energy needs. Currently, data from geophysical monitoring systems at DOE sites requires extensive manual data processing and interaction with such monitoring systems requires expert knowledge. Under this proposal Sky Research in collaboration with Pacific Northwest National Laboratory scientists will develop a prototype hydrogeophysical monitoring software package which will allow for efficient use of hydrogeophysical monitoring systems by automating many of the manual tasks and by providing a web based interface for the interaction with monitoring systems and the associated data.


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: SMALL BUSINESS PHASE I | Award Amount: 149.97K | Year: 2012

This Small Business Innovation Research (SBIR) Phase I project will develop a dike and levee characterization system. Hurricane Katrina and Rita and the flooding and breaching of levees in the Midwest in 2008 clearly demonstrated the impact of levee failures in the US, and the need for proactive levee assessment and repair. Current approaches to dike and levee assessments are expensive, invasive and lengthy and generally only provide sparse data. The system which will be developed under this SBIR will provide actionable information in near real time on the values of, and changes in, subsurface and surface properties of dikes and levees. This will be done by semi autonomously collecting and processing spatially and temporally coincident multi sensor datasets. Data processing will be done through joint inversion and automated interpretation of multi sensor datasets. Information will be made available to stakeholders in dikes and levees through a web interface, and will allow stakeholders to make informed and data based decisions on the need for corrective actions based on property values and changes. This system should substantially improve dike and levee assessment practices.

The broader impact/commercial potential of this project will be the potential to provide dike and levee characterization with improved quality and for substantially lower costs than current approaches, and the associated confidence in levee performance. In the US and in other countries such as the Netherlands, the UK, China and Japan levees and dikes collectively protect tens of millions of lives and trillions of dollars worth of property. Currently dike and levee assessment costs between $50,000 and $300,000 per mile. As the US levee inventory is over 100,000 miles, the costs to assess these dikes and levees pose significant hardship for the federal government, states and communities, and budget constraints sometime result in deferred assessments with potential deadly and expensive consequences. The system which will be developed here will provide in a single pass high quality, affordable (approximately $3000/mile), readily accessible comprehensive information on dike and levee subsurface and surface properties in near real time. This will allow stakeholders to make informed decisions on dike quality and the need for, and location of any corrective actions. The resulting science and data based knowledge about levee strength will provide broad benefits to society.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 99.05K | Year: 2010

Sky Research, Inc. proposes to advance present capabilities for Improvised Explosive Device (IED) detection and other Intelligence Surveillance Reconnaissance (ISR) detection needs though the explicit integration of Ultra-High Frequency (UHF) synthetic aperture radar (SAR) and Light Detection and Ranging (LiDAR) technologies. LiDAR and SAR bring separate and compatible detection capabilities to IED detection applications that can be used together to enhance overall capability. The proposed approach uses SAR as the primary detection sensor and LIDAR as a support sensor providing micro-topographic and vegetation context. SAR in the UHF band is a mature and well-tested technology. The SkySAR UHF radar has been demonstrated to have several highly useful capabilities for ISR objectives including vehicle target detection, facility mapping, and thin wire detection. Meanwhile, LiDAR is particularly useful at distinguishing very small features in micro-topography, which provides a strong support tool in the corroboration of target information extracted from SAR. The integration of SAR and LIDAR will provide the Air Force the following specific benefits: increased Probability of detection and decreased False Alarm Rate of IED targets; decreased complexity of the image exploitation process and decreased time to actionable data; and increased range of applicability of UHF SAR detection applications. BENEFIT: Sky Research proposes to integrate SAR and LiDAR technologies to exploit extensive and existing sensor, platform, processing, and exploitation capabilities to quickly produce tangible, significant and enhanced capabilities to the warfighter.This approach is based on the strong track record of SkySAR to detect thin wires, surface IEDs and shallow buried IEDs. This robust radar technology is ideally suited for many IED target detection applications. LIDAR will be used to augment direct detection for targets where topographic relief is present. However, the main use of LiDAR is to provide the contextual backdrop for SkySAR, as LIDAR can readily produce high-resolution, geo-referenced digital terrain surfaces, bare earth model, and vegetation models. These LIDAR products support and extend SAR detection rates, reduce false alarm rates, and simplify and accelerate the data exploitation process. Therefore, it is anticipated that the proposed research will advance airborne target detection for various IED threats and other intelligence surveillance and reconnaissance (ISR) applications in open areas, urban areas, under foliage, day or night, within and along roadways. Specific features of the proposed integrated technology include: enhanced target detection and false alarm rejection; decreased time to targets; improved coherent change detection and integrated image processing methods; area reduction through cued interrogation and high resolution terrain and structure modeling; improved digital terrain models and urban scene generation; and improved SAR imagery assisted by LiDAR-derived, high-fidelity digital elevation models.

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