Award Data

SOLAR FLARE PREDICTION IS A CRITICAL NEED FOR AIR FORCE SPACE AND COMMUNICATIONS OPERATIONS. THE KEY TO FLARE PREDICTION IS IN THE HIGHLY STRUCTURED MAGNETIC FIELDS PRECEDING FLARE ERUPTION. THE PROPOSED INSTRUMENT WILL ACHIEVE HIGH-SPATIAL-RESOLUTION MEASUREMENT OF THESE FIELDS BY OPERATION FROM A STRATOSPHERIC BALLOON, ABOVE THE DISTORTING EFFECTS OF THE EARTH'S ATMOSPHERE. THE PROPOSED SBIR PHA ...

"The success of hit-to-kill missile defense systems depends on correct discrimination of an entire collection of tracks. A number of organizations are now building Bayesian Network (BN) system models that assume near-perfect tracking knowledge, and theseBNs use single tracks and collections of tracks to define their inputs. An additional capability in support of this effort is the modeling of im ...

The objective of the Ballistic Missile Defense System (BMDS) is todetect, identify, and track targets using sensor observations, andengage the lethal objects using interceptors.To achieve the desired level of effectiveness, the system mustdistinguish between the lethal and non-lethal objects.Object identification is performed by a discrimination systemthat relies on a tracking system to associate ...

"To support autonomous scenarios, future constellations of satellites must manage multiple sources of information carrying various levels of uncertainty. Multi-mode payloads will be autonomously configured based on fusion of evidences provided byindependent cooperative agents. This will require an advanced architecture to loosely couple distributed knowledge sources. The Adaptive Belief Engine wi ...

Data Fusion has emerged as a critical technology to be developed and deployed for military projects encompassing Space Situational Awareness, and Offensive/Defensive Counterspace to increase the warfighter's ability to identify, characterize, geo-locate and assess attacks. Fusion has also been identified as a major risk to be mitigated for the NASA/Air Force Joint Space Launch Initiative (SLI) Re ...

Current state-of-the-art AI approaches to object recognition still face significant challenges. Foremost among these is efficiency, e.g. the ability to learn new objects using only a few examples, and robustness, e.g. the ability to perform with high accuracy across a wide range of image viewing conditions. We propose a new approach to object recognition which draws on the operating principles use ...

Capco proposes using materials developed in previous SBIR obscurant research efforts to prepare UVCM devices for test and evaluation. UV absorption will be optimized through particle geometry and processing parameters.

The objectives of the Phase II effort are to demonstrate the safety of the developed obscurant device for use in US Navy aircraft as an airborne expendable countermeasure, to optimize performance and to make the obscurant device fully compatible with existing Navy countermeasure dispensing systems.

EnerQuest Systems, LLC proposes to evaluate several aspects of LIDAR data processing that relate directly to digital feature extraction, classification and LIDAR filtering techniques. The development of data integration tools within an image processing andGIS environment will provide the capability to digitally extract 3-D earth surface feature information from LIDAR data. This includes: digital e ...

EnerQuest Systems, LLC's Phase II technical approach focuses on the development of a prototype system that post-processes LIDAR data within a database management, image processing, and GIS environment. The development of the EnerQuest prototype system isdue to the culmination of knowledge gained through Phase I investigations and testing, coupled to the vast experienced gained by EnerQuest during ...