In the world of remote sensing there exist radar sensors and EO/IR sensors, both of which carry with them unique information useful to the imaging community. Radar has the capability of imaging through all types of weather, day or night. EO/IR produces radiance maps and frequently images at much finer resolution than radar. While each of these systems is valuable to imaging, there exists unknown territory in the imaging community as to the value added in combining the best of both these worlds. This work will begin to explore the challenges in simulating a scene in both a radar tool called Xpatch and an EO/IR tool called DIRSIG. The capabilities and limitations inherent to both radar and EO/IR are similar in the image simulation tools, so the work done in a simulated environment will carry over to the real-world environment as well. The synthetic data generated will be compared to existing measured data to demonstrate the validity of the experiment. Future work should explore registration and various types of fusion of the resulting images to demonstrate the synergistic value of the combined images.
Library of Congress Subject Headings
Remote sensing--Data processing; Radar--Simulation methods; Electrooptics--Data processing; Remote sensing--Computer simulation
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Baccheschi, Nancy L., "Generation of a combined dataset of simulated radar and electro-optical imagery" (2005). Thesis. Rochester Institute of Technology. Accessed from
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