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1998
DOI: 10.1109/62.656334
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Battlefield awareness via synergistic SAR and MTI exploitation

Abstract: Battlefield awareness" is critical to the success of future military operations. Existing and new sensor platforms will provide the necessary surveillance data; DARPA is developing the systems needed to turn the sensor data into meaningful information for the commanders. A central thrust of these efforts exploits the synergistic relationship between SAR and MTI radar. Used together, they offer comprehensive coverage of the battlefield. THE REQUIREMENT FOR WIDE-AREA SURVEILLANCE To prevail in the diverse arenas… Show more

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Cited by 51 publications
(16 citation statements)
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“…Problems with previous MTI sensors include the limited availability of timely sensor coverage, the lack of wide-area, high-resolution imagery, and the inability to discriminate between moving vehicles of differing types [2]. These limitations have been reduced somewhat by the Synthetic-Aperture RADAR (SAR) MTI sensors.…”
Section: Related Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Problems with previous MTI sensors include the limited availability of timely sensor coverage, the lack of wide-area, high-resolution imagery, and the inability to discriminate between moving vehicles of differing types [2]. These limitations have been reduced somewhat by the Synthetic-Aperture RADAR (SAR) MTI sensors.…”
Section: Related Studiesmentioning
confidence: 99%
“…MTIs employing Synthetic Aperture RADAR (SAR) imagery are used in the commercial sector for detecting ice movement, deforestation tracking, and border surveillance [1]. Military applications involve MTIs to gain knowledge of the enemy [2] by recognizing and tracking hostile force movements, deployment patterns, and supply histories.…”
Section: Introductionmentioning
confidence: 99%
“…Bayesian networks are encountered in various applications like filtering junk e-mail (Sahami et al, 1998), assistance for blind people (Lacey & MacNamara, 2000), meteorology (Cano et al, 2004), traffic accident reconstruction (Davis, 2003), image analysis for tactical computeraided decision (Fennell & Wishner, 1998), market research (Jaronski et al, 2001), user assistance in sofware use , fraud detection (Ezawa & Schuermann, 1995), human-machine interaction enhancement (Allanach et al, 2004). The growing interest, since the mid-nineties, that has been shown by the industry for Bayesian models is growing particularly through the widespread process of interaction between man and machine to accelerate decisions.…”
Section: Field Of Applications Of Bayesian Networkmentioning
confidence: 99%
“…SAR 시스템은 여러 위치에서 수신된 레이더 신 호를 위상이 일치하도록 코히어런트(coherent)하게 합성하여 방위 분해능을 향상시킨다. 이러한 원리를 이용하여 얻은 고해상도의 SAR 영상은 항공기, 인 공위성 및 우주선에 탑재되어 육지, 해양, 극지, 대 기, 그리고 행성 원격 탐사에 있어서 중요한 자료를 제공하고 있다 [2] . …”
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