Paper
16 September 2005 Target detection using integrated hyper spectral sensing and processing
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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. We present a case study of ISP using a multi-spectral camera which allows the spatial resolution of the data to be varied in addition to selecting spectral bands that enable the detection of targets in background clutter. This paper is a preliminary description of work in progress, and illustrates the basic concepts by means of several examples.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abhijit Mahalanobis and Robert Muise "Target detection using integrated hyper spectral sensing and processing", Proc. SPIE 5908, Optical Information Systems III, 59080M (16 September 2005); https://doi.org/10.1117/12.619588
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Target detection

Detection and tracking algorithms

Spatial resolution

Digital micromirror devices

Pattern recognition

Cameras

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