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Semi-Automated IMINT Processing  |
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From the original at: http://www.darpa.mil/iso/saip/rel/all_saip_slides/main.html |
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The DARPA Semi-Automated IMINT Processing Program (SAIP) will provide an integrated suite of tools designed to provide the tactical field commander with more comprehensive and timely battlefield awareness, derived from high-volume imagery intelligence (IMINT).
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SAIP is a formal Advanced Concept Technology Demonstration (ACTD) coordinated by the Deputy Undersecretary for Advanced Technology (DUSD(AT)) Under the ACTD concept, DARPA acts as Developmental Manager for the SAIP effort. US Atlantic Command (USACOM) acts as Operational Manger for the SAIP ACTD.
Key features of the SAIP program include:
The overall goal of the SAIP program is to make imagery a more responsive source in providing the commander with dominant battlefield awareness. This information will be derived from both existing manned sensor assets such as the U-2 and emerging sensor platforms such as the high-altitude endurance unmanned aerial vehicles (HAE UAVs ) currently under development. Sensor phenomenology to be exploited by the SAIP system includes both synthetic aperture radars and electro-optical sensors.
The SAIP program is aimed at meeting the tactical user's needs and is therefore focused on quickly providing information to the commander regarding opposing ground order of battle (GOB) and missile order of battle (MOB) targets. SAIP brings to bear a variety of techniques to aid the image analyst in interpreting high volume image products in both wide area search and point target surveillance. The SAIP tools are designed to aid the analyst in performing his or her task, but in no way will constrain the operator in performing the current unaided tactical surveillance mission.
Site monitoring will also be included in the suite of information to be provided to the commander. Site change detection and occupancy will both be available for decision making purposes using the airborne platforms and the sensors noted above.
The technical goals of the SAIP effort aim at increasing imagery analysis efficiency. This will allow the battlefield commander to receive information regarding more territory than ever before while maintaining the same staffing levels for image analysis. Image analysts will be cued by SAIP to the location of isolated targets so as to allow swift human evaluation of critical targets. To do this effectively the probability of automatically, accurately detecting a target must be greater than 90% and the false alarm rate must be less than 1 for every hundred square kilometers being assessed. Force structure must be automatically recognized to detect maneuver battalions with 90% probability and only 1 false alarm per thousand square kilometers. Finally the image analyst will receive cueing from search imagery regarding areas that should be looked at more closely with higher resolution "spot modes".
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The successful completion of these goals will provide a quantum leap forward in enabling the battlefield commander to have real time battlefield visualization at his fingertips for decision making processes critical to winning battles and outmaneuvering adversaries.
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Principal Contacts |
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Program Manager : |
Stephen Welby |
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Information Systems Office, DARPA |
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703.696.2374 |
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SETA Lead : |
William Shaffer |
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Defense Analyses Group, SAIC |
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703.812.3481 |
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