Amid the areas of application that the military has identified to transfer its technologies to is that of the law enforcement where they are interested in the application of different types of imaging sensors, particularly the millimeter wave (MMW) sensors, to the detection of weapons concealed underneath clothing. In order to detect concealed weapons underneath clothing, it is important for the sensor to (1) have a good heavy clothing penetration, (2) operate at a reasonable long range and (3) display data in a near real time. Because these three prerequisites cannot be accomplished simultaneously, the authors introduce in this work a signal processing stage referred to as the automated statistical characterization and partitioning of environments procedure (A'SCAPE), to be located between the data collection and the data display stages of the sensor in order to enhance the collected data before it is displayed. In this paper advantages and inconveniences of passive millimeter-wave sensors are discussed, A'SCAPE is described, and an illustrating example is presented.
Application of A'SCAPE to the millimeter wave data for the detection of concealed weapons
Anwendung der A'SCAPE-Prozedur auf Millimeterwellendaten bei der Erkennung verborgener Waffen
1996
11 Seiten, 8 Bilder, 15 Quellen
Conference paper
English
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