*** IMPORTANT NOTICE **** (c) Images and software are copyright 1997, 1998, 1999, 2000, 2001, 2017, 2022 by David G. Long at Brigham Young University. Software is freely distributed provided is not used for commercial purposes. Any use of BYU-produced data should include a citation and a written acknowledgement, e.g., "Images are courtesy of D.G. Long at Brigham Young University." SIR theory papers: The multivariate SIRF algorithm is a non-linear resolution enhancement algorithm based on modified algebraic reconstruction and maximum entropy techniques. The algorithm is described in the following papers. Long, D.G., P.J. Hardin, and P.T. Whiting, "Resolution Enhancement of Spaceborne Scatterometer Data," IEEE Trans. Geoscience Remote Sens., Vol. 31, No. 3, pp. 700-715, doi:10.1109/36.225536, May 1993. Long, D.G., and D.L. Daum, "Spatial Resolution Enhancement of SSM/I Data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, No. 2, pp. 407-417, Mar. 1998. Early, D.S., and D.G. Long, "Image Reconstruction and Enhanced Resolution Imaging from Irregular Samples," IEEE Trans. Geoscience Remote Sens., Vol. 39, No. 2, pp. 291-302,doi:10.1109/36.905237, Feb. 2001. D.G. Long and M.J. Brodzik, "Optimum Image Formation for Spaceborne Microwave Radiometer Products," IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 5, pp. 2763-2779, doi:10.1109/TGRS.2015.2505677, 2016. Please send copies of papers, reports, or presentations using these images to: Dr. David G. Long long@ee.byu.edu Professor voice: (801) 422-4383 Electrical and Computer Engineering Department fax: (801) 422-0201 450 Engineering Building, Brigham Young University, Provo, Utah 84602