Image based SAR product simulation for analysisSAR product simulation serves to predict SAR image gray values for various flight paths. Input typically consists of a digital elevation model and backscatter curves. A new method is described of product simulation that employs also a real SAR input image for image simulation. This can be denoted as 'image-based simulation'. Different methods to perform this SAR prediction are presented and advantages and disadvantages discussed. Ascending and descending orbit images from NASA's SIR-B experiment were used for verification of the concept: input images from ascending orbits were converted into images from a descending orbit; the results are compared to the available real imagery to verify that the prediction technique produces meaningful image data.
Document ID
19880033810
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Domik, G. (Vexcel Corp. Boulder, CO, United States)
Leberl, F. (Vexcel Corp. Boulder, CO, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1987
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Society for Photogrammetry and Remote Sensing and ACSM, Annual Convention