IEEE IGARSS 2022 || Kuala Lumpur, Malaysia || 17

TH7.V16.4

SELF-SUPERVISED REPRESENTATION LEARNING ENHANCES BROAD AREA SEARCH IN MULTI-TEMPORAL SATELLITE IMAGERY

Thomas Stephens, Anthony Polakiewicz, Rose Colangelo, Mario Aguilar-Simon, Teledyne Scientific and Imaging, LLC, United States; Isaac Corley, Adrian Gould, David McVicar, Carlos Torres, BlackSky Geospatial Solutions, Inc, United States

Session:

Novelty Detection and Lifelong Learning for Robust Performance Under Ever-Changing Conditions (Part 1) Oral Virtual

Location:

Virtual Room 16

Presentation Time:

Fri, 22 Jul, 00:00 - 00:15 Malaysia Time (UTC +8)
Thu, 21 Jul, 18:00 - 18:15 Central European Time (UTC +1)
Thu, 21 Jul, 16:00 - 16:15 UTC
Thu, 21 Jul, 12:00 - 12:15 Eastern Time (UTC -5)

Session Co-Chairs:

Katarina Doctor, Naval Research Laboratory and Gabriele Cavallaro, Forschungszentrum Jülich

Session Manager:

Woan Shiang Lee

Resources

No resources available.

Session TH7.V16

TH7.V16.1: Novelty Detection in Remote Sensing Imagery

Dawei Du, Christopher Funk, Anthony Hoogs, Kitware, Inc, United States

TH7.V16.2: A CHANGEPOINT METHOD FOR OPEN-WORLD NOVELTY DETECTION

Matthew McLure, David Musliner, Smart Information Flow Technologies (SIFT), United States

TH7.V16.3: GUIDING FIELD EXPLORATION ON EARTH AND MARS WITH OUTLIER DETECTION

Hannah Kerner, University of Maryland, United States; Jacob Adler, Georgia Institute of Technology, United States

TH7.V16.4: SELF-SUPERVISED REPRESENTATION LEARNING ENHANCES BROAD AREA SEARCH IN MULTI-TEMPORAL SATELLITE IMAGERY

TH7.V16.5: Universal Domain Adaptation without Source Data for Remote Sensing Image Scene Classification

Qingsong Xu, Yilei Shi, Technical University of Munich, Germany; Xiaoxiang Zhu, Technical University of Munich; German Aerospace Center (DLR), Germany