Daugharty, M.[Maeve]
* 2022: Progress in Compact HF Radar Measurement of Bimodal Ocean Wave Parameters
Daughterty, B.
* 1992: Proteus: A Reconfigurable Computational Network for Computer Vision
* 1995: Proteus: A Reconfigurable Computational Network for Computer Vision
Daughtry, C.
* 2009: Improved ASTER Index for Remote Sensing of Crop Residue, An
* 2010: Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring
* 2018: Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery
* 2019: Assessing the Impact of Satellite Revisit Rate on Estimation of Corn Phenological Transition Timing through Shape Model Fitting
* 2022: Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and Soybean
Includes: Daughtry, C. Daughtry, C.[Craig]
Daughtry, C.S.[Craig S.]
* 2013: Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield
Daughtry, C.S.T.
* 1985: Sun-view angle effects on reflectance factor of corn canopies
* 2002: Atmospheric correction of landsat ETM+ land surface imagery Part II: Validation and Applications
* 2003: Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index from EO-1 ALI Data
* 2016: Spectral Indices to Improve Crop Residue Cover Estimation under Varying Moisture Conditions
* 2018: Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices
* 2019: Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra
* 2019: Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales
* 2020: Estimates of Conservation Tillage Practices Using Landsat Archive
* 2021: Evaluation of SWIR Crop Residue Bands for the Landsat Next Mission
* 2022: Geo-CropSim: A Geo-spatial crop simulation modeling framework for regional scale crop yield and water use assessment
* 2022: Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization
* 2023: Comparison of Five Spectral Indices and Six Imagery Classification Techniques for Assessment of Crop Residue Cover Using Four Years of Landsat Imagery
Includes: Daughtry, C.S.T. Daughtry, C.S.T.[Craig S. T.] Daughtry, C.S.T.[Craig S.T.]
12 for Daughtry, C.S.T.
Daughtry, C.T.[Craig T.]
* 2019: Mapping Crop Residue by Combining Landsat and WorldView-3 Satellite Imagery
Daugirdiene, A.[Ausra]
* 2012: Systematic violations of von Kries rule reveal its limitations for explaining color and lightness constancy
* 2014: Lightness constancy and its link with cone contrast
* 2016: Test illuminant location with respect to the Planckian locus affects chromaticity shifts of real Munsell chips
* 2018: Chips in the sunshine: color constancy with real versus simulated Munsell chips under illuminants adjacent to the daylight locus
Includes: Daugirdiene, A.[Ausra] Daugirdiene, A.
Daugman, J.[John]
* 2013: No change over time is shown in Rankin et al. Iris recognition failure over time: The effects of texture
* 2016: Searching for doppelgangers: assessing the universality of the IrisCode impostors distribution
* 2019: Radial correlations in iris patterns, and mutual information within IrisCodes
Daugman, J.G.
* 1980: Two-dimensional spectral analysis of cortical receptive field profiles
* 1985: Uncertainty Relation for Resolution in Space, Spatial Frequency, and Orientation Optimized by 2D Visual Cortical Filters
* 1988: Complete Discrete 2D Gabor Transforms by Neural Networks for Image Analysis and Compression
* 1993: High Confidence Visual Recognition of Persons by a Test of Statistical Independence
* 1994: Biometric personal identification system based on iris analysis
* 1997: Face And Gesture Recognition: Overview
* 1997: Neural Image-Processing Strategies Applied in Real-Time Pattern-Recognition
* 1997: Special Issue on Natural and Artificial Real-Time Imaging and Vision
* 2001: Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns
* 2002: How Iris Recognition Works
* 2003: importance of being random: statistical principles of iris recognition, The
* 2004: How Iris Recognition Works
* 2006: Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons
* 2007: New Methods in Iris Recognition
Includes: Daugman, J.G. Daugman, J.G.[John G.]
14 for Daugman, J.G.