McKague, D.[Darren]
* 2024: Characterization of CYGNSS Ocean Surface Wind Speed Products
McKague, D.S.
* 2011: Beam Spoiling Correction for Spaceborne Microwave Radiometers Using the Two-Point Vicarious Calibration Method
* 2013: Extension of Vicarious Cold Calibration to 85-92 GHz for Spaceborne Microwave Radiometers
* 2013: Radio Frequencies: Policy and Management
* 2013: Toward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors
* 2016: Boreal, Temperate, and Tropical Forests as Vicarious Calibration Sites for Spaceborne Microwave Radiometry
* 2017: Vicarious Cold Calibration for Conical Scanning Microwave Imagers
* 2018: Fundamental Climate Data Records of Microwave Brightness Temperatures
* 2024: Instrument Error Correlation Model for Global Navigation Satellite System Reflectometry, An
Includes: McKague, D.S. McKague, D.S.[Darren S.]
8 for McKague, D.S.
McKain, K.[Kathryn]
* 2020: Validation of Carbon Trace Gas Profile Retrievals from the NOAA-Unique Combined Atmospheric Processing System for the Cross-Track Infrared Sounder
McKay Bukowski, D.
* 2015: KAIRA: The Kilpisjärvi Atmospheric Imaging Receiver Array: System Overview and First Results
Includes: McKay Bukowski, D. McKay-Bukowski, D.
Mckay, G.N.
* 2020: Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
McKay, J.
* 2017: Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification
Mckay, M.[Myles]
* 2023: How many dimensions are required to find an adversarial example?
* 2024: Focus on the Crop Not the Weed: Canola Identification for Precision Weed Management Using Deep Learning
Includes: Mckay, M.[Myles] Mckay, M.[Michael]
McKay, N.D.
* 1992: Method for Registration of 3-D Shapes, A
McKay, R.[Raymond]
* 2024: Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning