Restoration of images from an airborne unstabilized hyperspectral line scanner

Gregory J. Power; Thomas F. Rathbun; Steven W. Worrell

doi:10.1117/12.353035

16 July 1999 Restoration of images from an airborne unstabilized hyperspectral line scanner

Gregory J. Power, Thomas F. Rathbun, Steven W. Worrell

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Proceedings Volume 3717, Algorithms for Multispectral and Hyperspectral Imagery V; (1999) https://doi.org/10.1117/12.353035
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

An airborne hyperspectral line scanner is used to image the ground as the aircraft moves on a single trajectory. In reality, it may be difficult for the aircraft to maintain a perfectly steady course causing distortions in the imagery. So, special subsystems including stabilizers are used to maintain the hyperspectral line scanner on the proper course. If the subsystems of an airborne hyperspectral line scanner are malfunctioning or if the proper stabilizers are not available, then a technique is needed to restore the imagery. It no stabilizers are used on the airborne line scanner, but if aircraft navigation information is available including yaw, pitch and roll, then the restoration may be automated. However, if the stabilizers are malfunctioning or if the navigation information is corrupted or unavailable, then a technique is needed to restore the imagery. This paper introduces an automated technique for restoring hyperspectral images that was used on some images obtained for the Dynamic Data Base program sponsored by the Defense Advanced Research Projects Agency. The automated approach is based on image flow vectors obtained from the unstable image. The approach is introduced along with results that demonstrate how successful the restoration is at the feature level.

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Gregory J. Power, Thomas F. Rathbun, and Steven W. Worrell "Restoration of images from an airborne unstabilized hyperspectral line scanner", Proc. SPIE 3717, Algorithms for Multispectral and Hyperspectral Imagery V, (16 July 1999); https://doi.org/10.1117/12.353035

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KEYWORDS

Scanners

Hyperspectral imaging

Sensors

Fourier transforms

Optical flow

Defense and security

Infrared imaging

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