Index for doel

Doel, T.[Tom] * 2018: Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
* 2019: DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Doeleman, S.S.[Sheperd S.] * 2016: Computational Imaging for VLBI Image Reconstruction

Doell, R.F.[Richard F.] * 2013: Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching, A

Doeller, C.F.[Christian F.] * 2023: Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks

Doelling, D.[David] * 2018: Consideration of Radiometric Quantization Error in Satellite Sensor Cross-Calibration
* 2019: Inter-Calibration of the DSCOVR EPIC Imager with Aqua-MODIS and NPP-VIIRS, The
* 2019: Inter-Calibration of the OSIRIS-REx NavCams with Earth-Viewing Imagers
* 2020: Calibrating Geosynchronous and Polar Orbiting Satellites: Sharing Best Practices

Doelling, D.R.[David R.] * 2008: Cloud Detection in Nonpolar Regions for CERES Using TRMM VIRS and Terra and Aqua MODIS Data
* 2013: Applications of Spectral Band Adjustment Factors (SBAF) for Cross-Calibration
* 2013: Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration Technique, The
* 2013: Characterization of Terra and Aqua MODIS VIS, NIR, and SWIR Spectral Bands' Calibration Stability
* 2013: Intercalibration of Geostationary Visible Imagers Using Operational Hyperspectral SCIAMACHY Radiances, The
* 2014: Desert-Based Absolute Calibration of Successive Geostationary Visible Sensors Using a Daily Exoatmospheric Radiance Model
* 2014: Initial Stability Assessment of S-NPP VIIRS Reflective Solar Band Calibration Using Invariant Desert and Deep Convective Cloud Targets
* 2015: MTSAT-1R Visible Imager Point Spread Correction Function, Part I: The Need for, Validation of, and Calibration With
* 2015: MTSAT-1R Visible Imager Point Spread Function Correction, Part II: Theory
* 2015: Radiometric Stability and Scaling of Collection 6 Terra- and Aqua-MODIS VIS, NIR, and SWIR Spectral Bands, The
* 2016: Web-Based Tool for Calculating Spectral Band Difference Adjustment Factors Derived From SCIAMACHY Hyperspectral Data, A
* 2017: Development of Seasonal BRDF Models to Extend the Use of Deep Convective Clouds as Invariant Targets for Satellite SWIR-Band Calibration
* 2017: Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands
* 2018: Calibration Changes to Terra MODIS Collection-5 Radiances for CERES Edition 4 Cloud Retrievals
* 2018: Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product
* 2018: Results From the Deep Convective Clouds-Based Response Versus Scan-Angle Characterization for the MODIS Reflective Solar Bands
* 2020: CERES Energy Balanced and Filled (EBAF) from Afternoon-Only Satellite Orbits
* 2020: Evaluating the Magnitude of VIIRS Out-of-Band Response for Varying Earth Spectra
* 2020: Extending the Global Space-Based Inter-Calibration System (GSICS) to Tie Satellite Radiances to an Absolute Scale
* 2020: Response Versus Scan-Angle Assessment of MODIS Reflective Solar Bands in Collection 6.1 Calibration
* 2020: Trutinor: A Conceptual Study for a Next-Generation Earth Radiant Energy Instrument
* 2021: Quantifying the Impact of Solar Spectra on the Inter-Calibration of Satellite Instruments
* 2022: Assessment of SNPP and NOAA20 VIIRS RSB Calibration Performance in NASA SIPS Reprocessed Collection-2 L1B Data Products, An
Includes: Doelling, D.R.[David R.] Doelling, D.R.
23 for Doelling, D.R.

Doelman, R.[Reinier] * 2018: Solving large-scale general phase retrieval problems via a sequence of convex relaxations

Index for "d"


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