| Title | Detection of keystone in imaging spectrometer data |
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| Author | Neville, R A; Sun, L; Staenz, K |
| Source | Defense and Security 2004: Image and Signal Acquisition and Processing - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X; by Shen, S S (ed.); Lewis, P E (ed.);
Proceedings of SPIE, the International Society of Optical Engineering vol. 5425, no. 20, 2004 p. 208-217 |
| Year | 2004 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043273 |
| Meeting | Defense and Security 2004: Image and Signal Acquisition and Processing - Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X; Orlando, FL; US; April 12-15,
2004 |
| Document | serial |
| Lang. | English |
| Media | CD-ROM; digital |
| Subjects | geophysics; spectrometric analyses; remote sensing; satellite imagery |
| Released | 2004 01 01 |
| Abstract | A procedure has been developed to measure the spatial mis-registration of the bands of imaging spectrometers using data acquired by the sensor in flight. This is done for each across-track pixel and for
all bands, thus allowing the measurement of the instrument's 'keystone' and related inter-band spatial shifts. The procedure uses spatial features present in the scene. The inter-band spatial relationship determinations are made by correlating these
features as detected by the various bands. Measurements have been made for a number of instruments including the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), Hyperion, Compact Airborne Spectrographic Imager (casi), SWIR (Short Wave
Infra-Red) Full Spectrum Imager (SFSI), and Aurora. The measurements on AVIRIS data were performed as a test of the procedure; since AVIRIS is a whisk-broom scanner it is expected to be free of keystone. The airborne Aurora, casi, and SFSI and the
satellite sensor Hyperion are all pushbroom instruments, exhibiting varying degrees of keystone. The potential impact of keystone upon spectral similarity measures is examined. |
| GEOSCAN ID | 220075 |
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