Shift estimation and non-uniformity in sequences of scene images

David C. Dayton; John D. Gonglewski; Chad St. Arnauld

doi:10.1117/12.737111

29 October 2007 Shift estimation and non-uniformity in sequences of scene images

David C. Dayton, John D. Gonglewski, Chad St. Arnauld

Proceedings Volume 6747, Optics in Atmospheric Propagation and Adaptive Systems X; 67470G (2007) https://doi.org/10.1117/12.737111
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

Most non-conventional approaches to image restoration of scenes observed over long atmospheric slant paths require multiple frames of short exposure images taken with low noise focal plane arrays. The individual pixels in these arrays often exhibit spatial non-uniformity in their response. In addition base motion jitter in the observing platform introduces a frame-to-frame linear shift that must be compensated for in order for the multi-frame restoration to be successful. In this paper we describe a maximum a-posteriori parameter estimation approach to the simultaneous estimation of the frame-to-frame shifts and the array non-uniformity. This approach can be incorporated into an iterative algorithm and implemented in real time as the image data is being collected. We present a brief derivation of the algorithm as well as its application to actual image data collected from an airborne platform.

Citation Download Citation

David C. Dayton, John D. Gonglewski, and Chad St. Arnauld "Shift estimation and non-uniformity in sequences of scene images", Proc. SPIE 6747, Optics in Atmospheric Propagation and Adaptive Systems X, 67470G (29 October 2007); https://doi.org/10.1117/12.737111

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