Abstract
The concept of Integrated Sensing and Processing (ISP) suggests that a sensor should collect data in a manner that is consistent with the end objective. Thus ISP seeks to minimize the collection of redundant data, reduce processing time and improve overall performance. A traditional approach designs the “best” sensor in terms of SNR, resolution, data rates, integration time and so forth, while traditional algorithms seek to optimize metrics such as probability of detection, false alarm rate, and class separability. The goal of ISP is to change this disjoint “sensing then processing” approach by allowing the algorithms to control the sensing parameters to collect the “best” information in order that the algorithm performs optimally.
At Lockheed Martin, we are experimenting with an ISP system which utilizes a near Infrared (NIR) Hadamard multiplexing imaging sensor. This prototype sensor incorporates a digital mirror array (DMA) device in order to realize a Hadamard multiplexed imaging system. Specific Hadamard codes can be sent to the sensor to realize inner products of the underlying scene rather than the scene itself. The developed ISP algorithm uses an automatic target recognition (ATR) metric to send codes to the sensor in order to collect only the information relevant to the ATR problem. The result is a multiple resolution hyperspectral cube with full resolution where targets are present and less than full resolution where there are no targets.
© 2006 Optical Society of America
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