Airborne net-centric multi-INT sensor control, display, fusion, and exploitation systems

Berg, Dale C. Linne von; Lee, John N.; Kruer, M.; Duncan, Michael; Olchowski, Fred; Allman, Eric; Howard, G.M.

doi:10.1117/12.554324

Cited by 1 publication

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“…In 2003, the NRL Optical Sciences Division initiated a multi-year effort to develop and demonstrate an airborne net-centric suite of multi-intelligence (multi-INT) sensors and exploitation systems for real-time target detection and targeting product dissemination [1]. The goal of this on-going Net-centric MultiIntelligence Fusion Targeting Initiative (NCMIFTI) is to develop an airborne real-time intelligence gathering and targeting system that can be used to detect concealed, camouflaged, and mobile targets.…”

Section: Introductionmentioning

confidence: 99%

<title>Control and display stations for simultaneous multiple dissimilar unmanned aerial vehicles</title>

et al. 2005

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The NRL Optical Sciences Division has developed and demonstrated ground and airborne-based control, display, and exploitation stations for simultaneous use of multiple dissimilar unmanned aerial vehicle (UAV) Intelligence, Surveillance, and Reconnaissance (ISR) systems. The demonstrated systems allow operation on airborne and ground mobile platforms and allow for the control and exploitation of multiple on-board airborne and/or remote unmanned sensor systems simultaneously. The sensor systems incorporated into the control and display stations include visible and midwave infrared (EO/MWIR) panchromatic and visible through short wave infrared (VNIR-SWIR) hyperspectral (HSI) sensors of various operational types (including step-stare, push-broom, whisk-broom, and video). Demonstrated exploitation capabilities include real-time screening, sensor control, pre-flight and real-time payload/platform mission planning, geo-referenced imagery mosaicing, change detection, stereo imaging, moving target tracking, and networked dissemination to distributed exploitation nodes (man-pack, vehicle, and command centers). Results from real-time flight tests using ATR, Finder, and TERN UAV's are described.

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Section: Introductionmentioning

confidence: 99%