The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.
SBC: Lynntech Inc. Topic: NGA181010
The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: Computer Visioin Group, Inc Topic: NGA11001
With the advancement of aerial imaging sensors, high quality data equipped with partial sensor calibration models is available. There is a recent research activity in computer vision community that aims to reconstruct 3-d structure of the observed scenes relying on the content of the imagery in fully automated ways. However the research has not matured into robust systems ready for operational set ...SBIR Phase I 2011 Department of DefenseNational Geospatial-Intelligence Agency
SBC: SEMANTIC DESIGNS Topic: NGA06001
This SBIR project will define a means for specifying and executing multiple transliteration systems to map written words in scripts in a variety of natural languages into Latin scripts. The work will investigate the issues behind transliteration of place names. It will define a domain-specific language, TSL, in which a transliteration system can be coded in a format easily written, understood and ...SBIR Phase I 2006 Department of DefenseNational Geospatial-Intelligence Agency