FR2.B3.5
Evaluating a Convolutional Neural Network Calibration Model with Laboratory Data
John Bradburn, Mustafa Aksoy, Lennox Apudo, University at Albany, SUNY, United States
Session:
FR2.B3: Microwave Radiometers: Calibration II Oral
Track:
Sensors, Instruments and Calibration
Location:
Room B3
Presentation Time:
Friday, 8 August, 11:30 - 11:45
Presentation
Discussion
Resources
No resources available.
Session FR2.B3
FR2.B3.1: SPECTRAL CALIBRATION OF THE ELECTROJET ZEEMAN IMAGING EXPLORER (EZIE) MICROWAVE ELECTROJET MAGNETOGRAM (MEM) RADIOMETER: ON-ORBIT PERFORMANCE AND DEMONSTRATION
Sidharth Misra, Sharmila Padmanabhan, Pekka Kangaslahti, Jet Propulsion Laboratory, United States; Jeng-Hwa Yee, APL, JHU, United States
FR2.B3.2: CALIBRATION FOR THE TOMORROW.IO MICROWAVE SOUNDER MISSION
Emma Watson, S. Joseph Munchak, Scott Williams, Jan Wicha, Tomorrow.io, United States
FR2.B3.3: Measured Loss of the Mechanically-Actuated Reconfigurable Reflectarray (MARR) Metasurface Reflector
Elizabeth Twarog, Justin Bobak, William Bounds, David Dowgiallo, US Naval Research Laboratory, United States; Sean Morgenstern, The Catholic University of America, United States; Owen Jacobs, McKinley Technology High School, United States
FR2.B3.4: Current Status of ACCURACy: Adaptive Calibration of CubeSat Radiometer Constellations
Lennox Apudo, John Bradburn, Mustafa Aksoy, University at Albany, United States
FR2.B3.5: Evaluating a Convolutional Neural Network Calibration Model with Laboratory Data
John Bradburn, Mustafa Aksoy, Lennox Apudo, University at Albany, SUNY, United States
Resources
No resources available.