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
“…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.…”
Moving Target Indicators (MTI) are systems used to distinguish movement from stationary scenes and sometimes to derive the spatial attributes of these objects. These systems are currently used in many sectors such as traffic studies, border surveillance, and military applications. The proposed MTI reveals vehicles and their velocities using commercial imagery from a passive optical satellite-mounted sensor. With simple process of image differencing, the MTI can automatically recognize conveyances in motion (speed and direction) represented by polygons formed by a group of pixels from successive images. Micro-change detection with an existing commercial satellite requires special considerations of differences in spatial and spectral resolution between images. Complications involving the movement detection system such as vehicle overlap, vehicle clusters, and zones of low confidence are refined by adding error-reducing modules. This process is tested on a variety of vehicles, their concentrations, and environments, confirming the feasibility of utilizing an MTI with commercial optical satellite imagery for movement recognition and velocity estimation.
“…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.…”
Moving Target Indicators (MTI) are systems used to distinguish movement from stationary scenes and sometimes to derive the spatial attributes of these objects. These systems are currently used in many sectors such as traffic studies, border surveillance, and military applications. The proposed MTI reveals vehicles and their velocities using commercial imagery from a passive optical satellite-mounted sensor. With simple process of image differencing, the MTI can automatically recognize conveyances in motion (speed and direction) represented by polygons formed by a group of pixels from successive images. Micro-change detection with an existing commercial satellite requires special considerations of differences in spatial and spectral resolution between images. Complications involving the movement detection system such as vehicle overlap, vehicle clusters, and zones of low confidence are refined by adding error-reducing modules. This process is tested on a variety of vehicles, their concentrations, and environments, confirming the feasibility of utilizing an MTI with commercial optical satellite imagery for movement recognition and velocity estimation.
“…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
“…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] . …”
This paper suggests a motion compensation technique using GPS/IMU data in order to compensate for phase error caused by undesired motion of radar platform. An actual flight trajectory would be deviate from an ideal straightconstant trajectory with a constant velocity for SAR imaging, due to pitch, roll and yaw motion of aircraft caused by turbulence. This leads to blurred SAR images due to inter-pulse phase errors as well as along-track velocity errors. If the motion compensation is carried out to reduce those errors, SAR image quality can be significantly improved. Simulation results show that the motion compensation technique introduced in this paper is an effective tool to improve SAR image quality against severe motion of radar platform. . SAR 시스템은 여러 위치에서 수신된 레이더 신 호를 위상이 일치하도록 코히어런트(coherent)하게
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