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Proceedings Paper

Hyperspectral and multispectral sensors for remote sensing
Author(s): James Miller; Sukhbir Kullar; David Cochrane; Nixon O; Andrey Lomako; Cees Draijer
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Paper Abstract

Remote Hyperspectral and Multispectral sensors have been developed using modern CCD and CMOS fabrication techniques combined with advanced dichroic filters. The resulting sensors are more cost effective while maintaining the high performance needed in remote sensing applications. A single device can contain multiple imaging areas tailored to different multispectral bandwidths in a highly cost effective and reliable package. This paper discusses a five band visible to near IR scanning sensor. By bonding advanced dichroic filters onto the cover glass and directly in the imaging path a highly efficient multispectral sensor is achieved. Up to 12,000 linear pixel arrays are possible1 with this advanced filter technology approach. Individual imaging areas on the device are designed to have unique pixel sizes and clocking to enable tailored imaging performance for the individual spectral bands. Individual elements are also based on high resolution Time Delay and Integration technology2,3 (TDI) to maximize sensitivity and throughput. Additionally for hyperspectral imagers, a split frame CCD design is discussed using high sensitivity back side illuminated (BSI) processes that can achieve high quantum efficiency. As these sensors are used in remote sensing applications, device robustness and radiation tolerance was required.

Paper Details

Date Published: 13 November 2010
PDF: 9 pages
Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78570O (13 November 2010); doi: 10.1117/12.876474
Show Author Affiliations
James Miller, DALSA Corp. (Canada)
Sukhbir Kullar, DALSA Corp. (Canada)
David Cochrane, DALSA Corp. (Canada)
Nixon O, DALSA Corp. (Canada)
Andrey Lomako, DALSA Corp. (Canada)
Cees Draijer, DALSA Corp. (Canada)

Published in SPIE Proceedings Vol. 7857:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III
Allen M. Larar; Hyo-Sang Chung; Makoto Suzuki, Editor(s)

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