Imaging moving objects in 3D from single aperture synthetic aperture radar
ABSTRACT General Dynamics Advanced Information Systems (GDAIS), supported by the USA Air Force, has been investigating exploiting moving targets whose returns are captured by conventional SAR systems. The result is a processing system that can extract the detailed 3D motions of a moving object. This system is called Three-Dimensional Motion and Geometric Information (3DMAGI). This paper reports on work done with a full volume of data from the National Ground Intelligence Center (NGIC) and vehicle trajectories measured by an inertial system on a moving vehicle. Its goal is to determine how to best use the rich data available from advanced processing to produce images and image products that will simplify the task of exploiting the radar image. The data and sample trajectory are described as well as how they are used to emulate the result of 3DMAGI processing. The work consists of investigations into the methods of creating a 3D data volume that matches the NGIC chamber collection, starting from a small subset defined by the data surface which lies in the full volume. How much extrapolation is needed to get acceptable results is the first question posed. From there, the question of just what methods yield the best results is examined. Limitations of various methods are explained with examples. Comparisons of each method of extrapolation to the original data volume are presented to give an indication of progress toward the goal.
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ABSTRACT: The present paper evaluates the claim that abstract conceptual domains are structured through metaphorical mappings from domains grounded directly in experience. In particular, the paper asks whether the abstract domain of time gets its relational structure from the more concrete domain of space. Relational similarities between space and time are outlined along with several explanations of how these similarities may have arisen. Three experiments designed to distinguish between these explanations are described. The results indicate that (1) the domains of space and time do share conceptual structure, (2) spatial relational information is just as useful for thinking about time as temporal information, and (3) with frequent use, mappings between space and time come to be stored in the domain of time and so thinking about time does not necessarily require access to spatial schemas. These findings provide some of the first empirical evidence for Metaphoric Structuring. It appears that abstract domains such as time are indeed shaped by metaphorical mappings from more concrete and experiential domains such as space.Cognition 05/2000; 75(1):1-28. · 3.16 Impact Factor
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ABSTRACT: Four studies examined the prediction of construal level theory that the more distant future events would be construed in higher-level, more abstract, and simple terms. Objects were categorized into broader categories when they pertained to distant future situations than to near future situations (Study 1). Positive and negative experiences in the more distant future were expected to be more prototypical—less variable and more extreme (Study 2). More distant future coping experiences were expected to be less variable (Study 3). Preferences for events and activities that were expected in the distant future were organized around simpler structures than preferences for the same events when they were expected in the near future (Study 4). These results support the principle of temporal construal, according to which the more distant future is represented in a more schematic, abstract, and coherent way.Journal of Experimental Social Psychology. 01/2002;
- Metaphor and Symbol - METAPHOR SYMB. 01/2006; 21(3):133-146.