2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

FR2.R4.5

A NEW AUTOENCODER TRAINING PARADIGM FOR UNSUPERVISED HYPERSPECTRAL ANOMALY DETECTION

Nicholas Merrill, Virginia Tech, United States; Colin Olson, U.S. Naval Research Laboratory, United States
Session:
New Algorithms for NewSpace: Detecting Difficult Targets
Track:
Invited Sessions
Presentation Time:
Fri, 2 Oct, 15:20-15:30 (UTC)
Fri, 2 Oct, 23:20-23:30 China Standard Time (UTC +8)
Fri, 2 Oct, 17:20-17:30 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 08:20-08:30 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Alan Schaum, U.S. Naval Research Laboratory and James Theiler, Los Alamos National Laboratory
Session Managers:
Laura Almendra Martín and Delmy Stefany Menjivar Sandoval

Presentation

Discussion

Resources

Session

FR2.R4.1: HYPERSTRING CONSTRUCTION OF SUB-PIXEL DETECTORS
Alan Schaum, Naval Research Laboratory, United States
FR2.R4.2: Regional surveys of CH4 point sources across North America: campaigns, algorithms, and results
David R Thompson, NASA Jet Propulsion Laboratory, California Institute of Technology, United States; Brian Bue, Riley Duren, NASA Jet Propulsion Laboratory, California Institute of Technology / University of Arizona, United States; Clayton Elder, Christian Frankenberg, NASA Jet Propulsion Laboratory, California Institute of Technology, United States; Robert Green, Simon Hook, Glynn Hulley, NASA Jet Propulsion Laboratory, United States; Charles Miller, Andrew Thorpe, Philip Dennison, NASA Jet Propulsion Laboratory, California Institute of Technology, United States
FR2.R4.3: IMPROVING PHYSICAL AND STATISTICAL MODELS FOR DETECTING DIFFICULT TARGETS WITH LRT DETECTORS IN CLOSED-FORM
Stefania Matteoli, National Research Council of Italy, Italy; Marco Diani, Italian Naval Academy, Italy; Giovanni Corsini, University of Pisa, Italy
FR2.R4.4: OFF-NADIR LONGWAVE INFRARED HYPERSPECTRAL MATERIAL IDENTIFICATION USING RADIOMETRIC MODELS
Michael Zelinski, Lawrence Livermore National Laboratory, United States
FR2.R4.5: A NEW AUTOENCODER TRAINING PARADIGM FOR UNSUPERVISED HYPERSPECTRAL ANOMALY DETECTION
Nicholas Merrill, Virginia Tech, United States; Colin Olson, U.S. Naval Research Laboratory, United States
FR2.R4.6: MULTI-TEMPORAL UNMIXING FOR THE DETECTION AND CONCENTRATION OF CHEMICALS IN POLLUTED WATER
Michal Shimoni, Belgian Royal Military Academy, Belgium; Christiaan Perneel, Royal Military academy, Belgium
FR2.R4.7: TEMPORAL ANOMALY DETECTION IN MULTISPECTRAL IMAGERY
Amanda Ziemann, Hope Simonoko, Eric Flynn, Los Alamos National Laboratory, United States