FR2.R12.1
A DEEP-LEARNING APPROACH TO UNDERGROUND TARGET DETECTION
Sean McKenna, Track 2 Analytics, United States; Lee Perren, USACE ERDC, United States
Session:
FR2.R12: Applications and Techniques in Sub-Surface Sensing Oral
Track:
Theory and Techniques
Location:
TBD
Presentation Time:
Fri, 14 Aug, 11:00 - 11:15
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, United States; Lee Perren, USACE ERDC, United States
FR2.R12.2: CHARACTERIZING CREVASSE WATER STORAGE IN GREENLAND’S ABLATION ZONE WITH AIRBORNE RADAR SOUNDING
Riley Culberg, Cornell University, United States
FR2.R12.3: PSEUDO-BREWSTER ANGLE–GUIDED BISTATIC SAR OPTIMIZATION FOR SUBSURFACE SENSING
David Atencia Mondagón, Eder Carlos Fernandes, State University of Campinas, Brazil; Everton Gomede, University of British Columbia, Canada; João Roberto Moreira Neto, Radaz S. A., Brazil; Hugo Enrique Hernandez Figueroa, State University of Campinas, Brazil
FR2.R12.4: A deep learning method for dual-frequency radar sounder data retrieval
Elena Donini, Sonia Borsi, Fondazione Bruno Kessler, Italy; Lorenzo Bruzzone, Università degli studi di Trento, Italy; Francesca Bovolo, Fondazione Bruno Kessler, Italy
FR2.R12.5: EARLY-TIME TDEMI FOR COMPOSITE AND LOW METAL CONTENT TARGET DETECTION
Michele Maxson, David Lozano, U.S. Army Corps of Engineers, United States; Maximilian Orman-Kollmar, Dartmouth College, United States; Mikheil Prishvin, Subsurface Sensing Technologies and Consulting, LLC, Georgia; Fridon Shubitidze, Dartmouth College, United States
Contacts