An Analysis of Iterative Algorithms for Image Reconstruction from Satellite Earth Remote Sensing Data

University of Utah

This paper discusses algorithms for creating enhanced-resolution images from satellite earth remote sensing data. The well-known ART and MART algorithms are discussed, as well as a new class of algorithms-column-normalized algorithms. The SART algorithm is studied as an example of a column-normalized algorithm and is compared structurally to the SIR algorithm to help explain SIR's success at remote sensing image reconstruction. Several reconstruction algorithms are then compared using both simulated and real satellite radiometer data sets.