Autonomous real-time ground ubiquitous surveillance - Imaging system (ARGUS-IS)

被引:27
作者
Leininger, Brian [1 ]
Edwards, Jonathan [2 ]
Antoniades, John [2 ]
Chester, David [2 ]
Haas, Dan [2 ]
Liu, Eric [2 ]
Stevens, Mark [3 ]
Gershfield, Charlie [3 ]
Braun, Mike [3 ]
Targove, James D. [4 ]
Wein, Steve [4 ]
Brewer, Paul [5 ]
Madden, Donald G. [5 ]
Shafique, Khurram Hassan [5 ]
机构
[1] DARPA, 3701 N Fairfax Dr, Arlington, VA 22203 USA
[2] BAE Adv Technol, Columbia, MD 21046 USA
[3] BAE Adv Informat Technol, Burlington, MA 01803 USA
[4] BAE Opt Sensor Syst, Acton, MA 01720 USA
[5] ObjectVideo, Reston, VA 20191 USA
来源
DEFENSE TRANSFORMATION AND NET-CENTRIC SYSTEMS 2008 | 2008年 / 6981卷
关键词
surveillance; UAS; ISR; electro-optics; gigapixel; sensor; FPGA; JPEG; 2000; data link;
D O I
10.1117/12.784724
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Finding, tracking and monitoring events and activities of interest on a continuous basis remains one of our highest Intelligence Surveillance and Reconnaissance (ISR) requirements. Unmanned Aerial Systems (UAS) serve as one of the warfighter's primary and most responsive means for surveillance and gathering intelligence information and are becoming vital assets in military operations. This is demonstrated by their significant use in Afghanistan during Operation Enduring Freedom and in Iraq as part of Operation Iraqi Freedom. Lessons learned from these operations indicate that UAVs provide critical capabilities for enhancing situational awareness, intelligence gathering and force protection for our military forces. Current LAS high resolution electro-optics offers a small high resolution field of view (FOV). This narrow FOV is a limiting factor on the utility of the EO system. The UAS that are available offer persistence; however, the effectiveness of the EO system is limited by the sensors and available processing. DARPA is addressing this developing the next generation of persistent, very wide area surveillance with the Autonomous Real-time Ground Ubiquitous Surveillance - Imaging System (ARGUS-IS). The system will be capable of imaging an area of greater than 40 square kilometers with a Ground Space Distance (GSD) of 15 cm at video rates of greater than 12 Hz. This paper will discuss the elements of the ARGUS-IS program.
引用
收藏
页数:11
相关论文
共 11 条
[1]  
*AN DEV, 2007, ADV212 JPEG 2000 VID
[2]   Multiple-hypothesis tracking of multiple ground targets from aerial video with dynamic sensor control [J].
Arambel, P ;
Silver, J ;
Krant, J ;
Antone, M ;
Strat, T .
SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XIII, 2004, 5429 :23-32
[3]   Lucas-Kanade 20 years on: A unifying framework [J].
Baker, S ;
Matthews, I .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 56 (03) :221-255
[4]   BEE2: A high-end reconfigurable computing system [J].
Chang, Chen ;
Wawrzynek, John ;
Brodersen, Robert W. .
IEEE Design and Test of Computers, 2005, 22 (02) :114-125
[5]  
FAGUERAS O, 2001, GEOMETRY MULTIPLE IM
[6]  
GEYER C, 2005, IEEE WORKSH OMN VIS
[7]   Image Alignment and Stitching: A Tutorial [J].
Szeliski, Richard .
FOUNDATIONS AND TRENDS IN COMPUTER GRAPHICS AND VISION, 2006, 2 (01) :1-109
[8]  
Triggs B., 2000, Vision Algorithms: Theory and Practice. International Workshop on Vision Algorithms. Proceedings (Lecture Notes in Computer Science Vol. 1883), P298
[9]  
WILBURN B, 2005, P SIGGRAPH
[10]   Technology and device scaling considerations for CMOS imagers [J].
Wong, HS .
IEEE TRANSACTIONS ON ELECTRON DEVICES, 1996, 43 (12) :2131-2142