Microwave and Infrared Remote Sensing of the Earth
from Space
Synthetic Aperture Radar
Fortran & Visual Basic
Programming
Mathematical Analysis of Inversion Problems
Array-type
Antennas
For personal reasons, I decided to take time off from working in December, 2001. One reason was my wife’s battle with cancer; she died 20 March, 2003. I was also very ill, but have now recovered. It was because of my illness that I have not answered some of my e-mail; I will try to make that up.
I am now looking for a new position doing research in earth remote sensing or synthetic aperture radar, and I would appreciate inquiries from anyone who might be interested in my services.
Abstract of ‘A Critical Assessment of Intraseasonal Oscillations,’ which was published in the International Journal of Remote Sensing, 19, 2275-2282 (1998). It deals with the question of what methods are proper for finding oscillations in the atmosphere, and which ones are not. View the whole paper here.
‘Inversion of Systems of Quadratic Equations.’ This was recently published in the International Journal of Remote Sensing.
‘The Hyperbolic Geometry of SAR Imaging ’ describes a new method of forming images from synthetic aperture radar (SAR) data. The method, called w-k Migration, provides a mathematically exact solution to the SAR imaging problem. This is especially important for ultrawideband radars. (This document is in Adobe PDF format; you can download Adobe Acrobat Reader to read it. This is an updated version of the paper that was posted here several years ago.) It will be submitted to Radio Science shortly.
I am also working on a paper that shows that superresolution is not possible: getting better resolution than physics normally allows from an instrument by some tricky kind of mathematical processing, were it successful, would violate the second law of thermodynamics. If anyone has figured out how to do it, he also knows how to predict tomorrow’s lottery number and probably isn’t interested in holding down a regular job.
Part of what I do professionally.
My book, Mathematical Principles of Remote Sensing: Making Inferences from Noisy Data, published by Ann Arbor Press (and now by CRC press), is now available in bookstores. Note: I have had several requests for copies of my article on the solution on systems of quadratic equations, which appeared a while ago in International Journal of Remote Sensing. I am sorry to say that I have no more copies of that article, but you can find the same information in this book.
Gravity! It's what keeps us all together!
Words from out Sponsors
Central Florida Levitation Academy
Andrew S. Milman, amilman@ieee.org.
Last Modified 04/06/06.
Copyright © 1995-2006 by Andrew S.
Milman. All rights reserved.