Assessing Deep Learning Models Trained on Public versus Commercial Data using FloodPlanet, a High-Resolution Commercial Imagery Flood Dataset, for Inundation Detection

    flowchart
    W[2022AGUFMGC13A..05Z]
    LA["Linked Authors (2)"]
    LI["Linked Institutions (4)"]
    W== author ==>LA
    W== affil ==>LI
    click LA "#linked-authors"
    click LI "#linked-institutions"
Graph neighborhood for 'Assessing Deep Learning Models Trained on Public versus Commercial Data using FloodPlanet, a High-Resolution Commercial Imagery Flood Dataset, for Inundation Detection'. Click aggregate nodes to navigate.
ADS bibcode
2022AGUFMGC13A..05Z
year
2022
Listed Authors
Zhang, Zhijie
Giezendanner, Jonathan
Melancon, Alexander
Mukherjee, Rohit
Gurung, Iksha
Luca, Sarah
Lall, Upmanu
Barnard, Kobus
Molthan, Andrew
Tellman, Beth
Listed Institutions
University of Arizona, Tucson, United States
University of Arizona, Tucson, United States
University of Alabama in Huntsville, Huntsville, United States
University of Arizona, Tucson, United States
University of Alabama in Huntsville, Huntsville, United States
University of Arizona, Tucson, United States
Columbia University, New York, United States
University of Arizona, Tucson, United States
NASA Marshall Space Flight Center, Huntsville, United States
University of Arizona, Tucson, United States

Linked Authors [?]

Linked Institutions