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29 January 2002 Low-cost multiple-camera multiple-processor multispectral system
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Abstract
Multispectral sensing is a technique for acquiring measurements of surface radiance in a series of several electromagnetic bands, ranging from the visible spectrum (.4 mm) through the thermal infrared region (3 - 14 mm). Multispectral sensing, by virtue of its many spectral bands can provide the capability of characterizing and identifying natural and man-made targets in terms of both their spatial characteristics and often more importantly, their material properties. The research described in this paper combines spectroscopic tools and techniques, based on physical models of the absorption and scattering spectral phenomenology in the scene, with signal processing techniques, Innovative methods of directly fusing terrain representations and data from separate sensors during spectral feature extraction were also explored. The resulting algorithms were then programmed on a four-processor PCI-bus-based digital signal processing (DSP) board. The DSP board performed end-to-end processing of the multispectral imaging task, including; camera calibration, image acquisition from the four digital imaging cameras, and image processing.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James E. Whitney II and Joseph J. Dirbas "Low-cost multiple-camera multiple-processor multispectral system", Proc. SPIE 4538, Optics in Atmospheric Propagation and Adaptive Systems IV, (29 January 2002); https://doi.org/10.1117/12.454404
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