Paper
21 December 2001 Recce NG: from Recce sensor to image intelligence (IMINT)
Author Affiliations +
Abstract
Recce NG (Reconnaissance New Generation) is presented as a complete and optimized Tactical Reconnaissance System. Based on a new generation Pod integrating high resolution Dual Band sensors, the system has been designed with the operational lessons learnt from the last Peace Keeping Operations in Bosnia and Kosovo. The technical solutions retained as component modules of a full IMINT acquisition system, take benefit of the state of art in the following key technologies: Advanced Mission Planning System for long range stand-off Manned Recce, Aircraft and/or Pod tasking, operating sophisticated back-up software tools, high resolution 3D geo data and improved/combat proven MMI to reduce planning delays, Mature Dual Band sensors technology to achieve the Day and Night Recce Mission, including advanced automatic operational functions, as azimuth and roll tracking capabilities, low risk in Pod integration and in carrier avionics, controls and displays upgrades, to save time in operational turn over and maintenance, High rate Imagery Down Link, for Real Time or Near Real Time transmission, fully compatible with STANAG 7085 requirements, Advanced IMINT Exploitation Ground Segment, combat proven, NATO interoperable (STANAG 7023), integrating high value software tools for accurate location, improved radiometric image processing and open link to the C4ISR systems. The choice of an industrial Prime contractor mastering across the full system, all the prior listed key products and technologies, is mandatory to a successful delivery in terms of low Cost, Risk and Time Schedule.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Serge Larroque "Recce NG: from Recce sensor to image intelligence (IMINT)", Proc. SPIE 4492, Airborne Reconnaissance XXV, (21 December 2001); https://doi.org/10.1117/12.451119
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Image sensors

Image processing

Data acquisition

Data modeling

Image compression

Reconnaissance

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