*** IMPORTANT NOTICE ****


(c) Images and software are copyright 1997, 1998, 1999, 2000, 2001 
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. They
 were generated from data obtained from the PO.DAAC."

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, 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, Feb. 2001. 
 

Selected application papers:

Long, D.G., and M.R. Drinkwater, "Cryosphere Applications of NSCAT Data,"
IEEE Transactions Geoscience and Remote Sensing, Vol. 37, No. 3,
pp. 1671-1684, May 1999. 

Long, D.G., and P. Hardin, "Vegetation Studies of the Amazon Basin Using 
Enhanced Resolution Seasat Scatterometer Data," IEEE Transactions on
Geoscience and Remote Sensing, Vol. 32, No. 2, pp. 449-460, Mar. 1994. 


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
459 Clyde Building
Brigham Young University
Provo, Utah    84602