M3: Remote Sensing and Analysis I |
Session Type: Lecture |
Time: Monday, March 30, 14:30 - 15:30 |
Location: New Mexico Room |
M3.1: IDENTIFYING FOREST THINNING USING ANOMALOUS CHANGE DETECTION ON SYNTHETIC APERTURE RADAR DATA |
Elena C. Reinisch; Los Alamos National Laboratory |
James Theiler; Los Alamos National Laboratory |
Amanda Ziemann; Los Alamos National Laboratory |
M3.2: CYCLE-CONSISTENT ADVERSARIAL NETWORKS FOR REALISTIC PERVASIVE CHANGE GENERATION IN REMOTE SENSING IMAGERY |
Christopher Ren; Los Alamos National Laboratory |
Amanda Ziemann; Los Alamos National Laboratory |
Alice Durieux; Descartes Labs |
James Theiler; Los Alamos National Laboratory |
M3.3: FEATURE AUGMENTATION IMPROVES ANOMALOUS CHANGE DETECTION FOR HUMAN ACTIVITY IDENTIFICATION IN SYNTHETIC APERTURE RADAR IMAGERY |
Hannah Murphy; New Mexico Institute of Mining and Technology |
Christopher Ren; Los Alamos National Laboratory |
Matthew Calef; Descartes Labs |
M3.4: DETECTING AND CORRELATING TEMPORAL ANOMALIES IN MULTISPECTRAL REMOTE SENSING IMAGERY |
Hope Simonoko; Los Alamos National Laboratory |
Amanda Ziemann; Los Alamos National Laboratory |
Eric Flynn; Los Alamos National Laboratory |