FR2.R12.5
EARLY-TIME TDEMI FOR COMPOSITE AND LOW METAL CONTENT TARGET DETECTION
Michele Maxson, David Lozano, U.S. Army Corps of Engineers; Maximilian Orman-Kollmar, Dartmouth College; Mikheil Prishvin, Subsurface Sensing Technologies and Consulting, LLC; Fridon Shubitidze, Dartmouth College
Session:
FR2.R12: Applications and Techniques in Sub-Surface Sensing Oral
Track:
Theory and Techniques
Location:
Georgetown East
Presentation Time:
Friday, 14 August, 12:00 - 12:15
Session Chair:
Riley Culberg, Cornell University
Presentation
Discussion
Resources
No resources available.
Session FR2.R12
FR2.R12.1: A DEEP-LEARNING APPROACH TO UNDERGROUND TARGET DETECTION
Sean McKenna, Track 2 Analytics; Lee Perren, USACE ERDC
FR2.R12.2: CHARACTERIZING CREVASSE WATER STORAGE IN GREENLAND’S ABLATION ZONE WITH AIRBORNE RADAR SOUNDING
Riley Culberg, Cornell University
FR2.R12.3: PSEUDO-BREWSTER ANGLE–GUIDED BISTATIC SAR OPTIMIZATION FOR SUBSURFACE SENSING
David Atencia Mondagón, Eder Carlos Fernandes, State University of Campinas; Everton Gomede, University of British Columbia; João Roberto Moreira Neto, Radaz S. A.; Hugo Enrique Hernandez-Figueroa, State University of Campinas
FR2.R12.4: A deep learning method for dual-frequency radar sounder data retrieval
Elena Donini, Sonia Borsi, Fondazione Bruno Kessler; Lorenzo Bruzzone, Università degli studi di Trento; Francesca Bovolo, Fondazione Bruno Kessler
FR2.R12.5: EARLY-TIME TDEMI FOR COMPOSITE AND LOW METAL CONTENT TARGET DETECTION
Michele Maxson, David Lozano, U.S. Army Corps of Engineers; Maximilian Orman-Kollmar, Dartmouth College; Mikheil Prishvin, Subsurface Sensing Technologies and Consulting, LLC; Fridon Shubitidze, Dartmouth College
Resources
No resources available.