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26 September 2007 Maximum a-posteriori estimation of detector array non-uniformity and shift in sequences of short exposure images
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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 aposteriori 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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David C. Dayton, John D. Gonglewski, and Chad St. Arnauld "Maximum a-posteriori estimation of detector array non-uniformity and shift in sequences of short exposure images", Proc. SPIE 6712, Unconventional Imaging III, 67120I (26 September 2007); https://doi.org/10.1117/12.737106
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