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Proceedings Paper

An experimental study on verification of the compact airborne imaging spectrometer system
Author(s): Kwangjae Lee; Younsoo Kim; Sangsoon Yong; Yongseung Kim
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Paper Abstract

The Compact Airborne Imaging Spectrometer System (CAISS) was designed and developed as the airborne hyperspectral imaging system. The mission of the CAISS is to provide full contiguous spectral information with high spatial resolution for advanced applications in the field of remote sensing. The CAISS has an ability to control the spectral and spatial configuration of the imaging instruments. In order to understand the mechanism of imaging spectrometer system and its characteristics, the several verification tests with the CAISS were conducted in the laboratory. Especially, the verification of camera system was performed with the integrating sphere and spectral lamps. In order to verify the spectral characteristics, four spectral binning (x1, x2, x4, and x8) were measured using each of the spectral lamps and the position of the peaks was compared to the reference data sheet of each spectral lamps. For all measurements, it was found that the spectral deviation was lower than the Full Width Half Maximum (FWHM) of the system for each of the spectral binning. Also several interface verification tests between the CAISS and the airplane were conducted on the ground. This paper presents the preliminary results of verification test in the camera system level and interface test with airplane on the ground.

Paper Details

Date Published: 28 September 2009
PDF: 7 pages
Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 747716 (28 September 2009); doi: 10.1117/12.830269
Show Author Affiliations
Kwangjae Lee, Korea Aerospace Research Institute (Korea, Republic of)
Younsoo Kim, Korea Aerospace Research Institute (Korea, Republic of)
Sangsoon Yong, Korea Aerospace Research Institute (Korea, Republic of)
Yongseung Kim, Korea Aerospace Research Institute (Korea, Republic of)

Published in SPIE Proceedings Vol. 7477:
Image and Signal Processing for Remote Sensing XV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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