2026-09-18T22:34:52Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/80703 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Munson, David C., Jr. Cadalli, Nail 2015-09-25T20:07:42Z 2015-09-25T20:07:42Z 10000-01-01 2001 2001 In lidar imaging of underwater objects, we formulate the problem as a 3-D tomographic reconstruction problem. We have developed software to simulate lidar returns at airborne receivers using the bistatic lidar return equations. Our simulator can model multiple scattering and absorption for various water types and system parameters. Our simulated data fits the characteristics of real data very well. We present our reconstruction results from the simulated and real data, and comparatively discuss the reconstructions. Made available in DSpace on 2015-09-25T20:07:42Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3017032.pdf: 6074477 bytes, checksum: 3d9edbaf31ce04ee4922759a4fc95da4 (MD5) Previous issue date: 2001 Embargo set by: Seth Robbins for item 81985 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 142 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001. http://hdl.handle.net/2142/80703 (MiAaPQ)AAI3017032 eng Physics, Optics Signal Processing Issues in Reflection Tomography text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.