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Radiant Brass

Radiant Brass is focused on conventional munitions signatures. It is sponsored by the Navy Tactical Exploitation of National Capabilities (TENCAP) Office. Work has included spectral and temporal characterization of conventional munitions detonations, and collection of infrared detonation signatures and characterization of spectral features. Remote Sensing and Signature Analysis research areas include remote sensing technologies, signal and image processing, characterization and integration, multispectral and hyperspectral imaging (MSI/HSI) analysis, radiation transfer through the atmosphere, passive coherent location (PCL), modulation of the environment, and computational processes of large data sets. These research areas support research efforts for Measurement and Signature Intelligence (MASINT). MASINT is technical intelligence information obtained by quantitative and qualitative analysis of data (any wavelength, time-dependence, or modulation) derived from specific technical sensors, passive or active, for the purpose of identifying any distinctive features (signatures) associated with the detection and measurement of the emitter.

Naval Postgraduate School research has sought to develop a method for using satellite data to predict the performance of aircraft mounted FLIRs for desert operation. This project was funded for $50K starting 1 May 2000. The project had 3 components. The first was to find a method of using satellite and meteorological data to determine atmospheric turbidity. The second was to test the method. The third was to relate satellite-derived turbidity to FLIR performance. The first two components were worked in collaboration with personnel at NAWC, China Lake. Ground- based equipment needed for validation of satellite retrieval of atmospheric optical depth was operated at China Lake 24x7. This meant the satellite operators can take their data at times most convenient to them. Collaboration with Boeing has been discussed. They have volunteered to help obtain unprocessed satellite data. Meteorological information needed to extract turbidity from optical depth is to be generated using numerical weather prediction programs. The third component of this project sought to use FLIRs mounted on F-18 being flown on training missions. That did not work out. Another approach is to try to piggyback on Predator UAV flights at Fallon.




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