Paper
9 April 2007 Recent results of integrated sensing and processing with hyperspectral imager
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Abstract
In this paper we present an information sensing system which integrates sensing and processing resulting in the direct collection of data which is relevant to the exploitation application. Broadly, integrated sensing and processing (ISP) considers algorithms that are integrated with the collection of data. We demonstrate 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 incorporates the exploitation tasks into the sensing by computing an ATR metric which directs the sensor 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. We demonstrate this algorithm fully integrated with the sensor and running in real time on a test case to demonstrate feasibility.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Muise and Abhijit Mahalanobis "Recent results of integrated sensing and processing with hyperspectral imager", Proc. SPIE 6574, Optical Pattern Recognition XVIII, 657404 (9 April 2007); https://doi.org/10.1117/12.723636
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Imaging systems

Image resolution

Multiplexing

Hyperspectral imaging

Detection and tracking algorithms

Algorithm development

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