Hain, C.[Christopher]
* 2018: Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing
* 2018: Projecting Climate and Land Use Change Impacts on Actual Evapotranspiration for the Narmada River Basin in Central India in the Future
* 2018: What Rainfall Does Not Tell Us: Enhancing Financial Instruments with Satellite-Derived Soil Moisture and Evaporative Stress
* 2019: Evapotranspiration Data Product from NESDIS GET-D System Upgraded for GOES-16 ABI Observations
* 2019: Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta
* 2019: Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites
* 2020: Flood Hazard and Risk Assessment of Extreme Weather Events Using Synthetic Aperture Radar and Auxiliary Data: A Case Study
* 2021: Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management
* 2021: Mapping Daily Evapotranspiration at Field Scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy
* 2022: Improved Daily Evapotranspiration Estimation Using Remotely Sensed Data in a Data Fusion System
* 2023: Evaluation of Partitioned Evaporation and Transpiration Estimates within the DisALEXI Modeling Framework over Irrigated Crops in California
Includes: Hain, C.[Christopher] Hain, C.[Chris]
11 for Hain, C.
Hain, C.R.[Christopher R.]
* 2013: Remote-Sensing Driven Tool for Estimating Crop Stress and Yields, A
* 2016: Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin
* 2018: Assessment of the Impact of Land Thermal Infrared Observation on Regional Weather Forecasts Using Two Different Data Assimilation Approaches, An
* 2019: Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard
* 2021: Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard
Hain, T.[Thomas]
* 2007: 2007 AMI(DA) System for Meeting Transcription, The
* 2017: Analysing acoustic model changes for active learning in automatic speech recognition
Includes: Hain, T.[Thomas] Hain, T.
Haindl, M.
* 1991: Hierarchical Evidence Combining Edge Detection, A
* 1992: Multiresolution Edge Labelling Using Hierarchical Relaxation
* 1994: adaptive image line reconstruction method, An
* 1995: multi-model image line reconstruction, A
* 1997: Fast segmentation of range images
* 1998: Fast Segmentation of Planar Surfaces in Range Images
* 1999: Texture Segmentation Using Recursive Markov Random Field Parameter Estimation
* 2000: Automatic Acquisition of Planar-faced Virtual Models
* 2000: Recursive Model-based Image Restoration
* 2000: Recursive Square-root Filters
* 2002: Discrete Mixtures Colour Texture Model, A
* 2002: Fast restoration of colour movie scratches
* 2002: multiscale colour texture model, A
* 2002: Simple Multispectral Multiresolution Markov Texture Model, A
* 2004: BTF image space utmost compression and modelling method
* 2004: Fast Probabilistic Bidirectional Texture Function Model, A
* 2004: gaussian mixture-based colour texture model, A
* 2004: Model-Based Texture Segmentation
* 2004: Non-linear reflectance model for bidirectional texture function synthesis
* 2005: Restoration of Multitemporal Short-Exposure Astronomical Images
* 2006: BTF Modelling Using BRDF Texels
* 2006: Color Texture Segmentation by Decomposition of Gaussian Mixture Model
* 2006: Fast Synthesis of Dynamic Colour Textures
* 2006: Feature Selection Based on Mutual Correlation
* 2006: Illumination Invariant Texture Retrieval
* 2006: Multimodal Range Image Segmentation by Curve Grouping
* 2006: Subspace Approach to Texture Modelling by Using Gaussian Mixtures, A
* 2006: Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering
* 2006: Unsupervised Texture Segmentation Using Multispectral Modelling Approach
* 2007: Conditional Mutual Information Based Feature Selection for Classification Task
* 2007: Demonstration of image retrieval based on illumination invariant textural MRF features
* 2007: Extreme Compression and Modeling of Bidirectional Texture Function
* 2007: Hierarchical Texture Model for Unsupervised Segmentation of Remotely Sensed Images, A
* 2007: Image retrieval measures based on illumination invariant textural MRF features
* 2007: Texture Defect Detection
* 2008: Fast and reliable PCA-based temporal segmentation of video sequences
* 2008: Illumination invariants based on Markov random fields
* 2008: Probabilistic Discrete Mixtures Colour Texture Models
* 2008: Texture segmentation benchmark
* 2008: Unsupervised mammograms segmentation
* 2009: Bidirectional Texture Function Modeling: A State of the Art Survey
* 2009: Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models
* 2009: Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation
* 2009: Illumination invariant and rotational insensitive textural representation
* 2009: Illumination invariant unsupervised segmenter
* 2009: Near-Regular Texture Synthesis
* 2009: Texture Editing Using Frequency Swap Strategy
* 2010: Compound MRF Texture Model, A
* 2010: Gaze-Motivated Compression of Illumination and View Dependent Textures
* 2010: Natural Material Recognition with Illumination Invariant Textural Features
* 2010: Near-Regular BTF Texture Model
* 2011: Colour and rotation invariant textural features based on Markov random fields
* 2011: Dynamic texture as foreground and background
* 2012: Fine Structure Recognition in Multichannel Observations
* 2012: Potts compound Markovian texture model
* 2012: Predicting environment illumination effects on material appearance
* 2013: BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition
* 2013: Moving Average Bidirectional Texture Function Model, A
* 2013: Unsupervised Dynamic Textures Segmentation
* 2013: Visual Texture: Accurate Material Appearance Measurement, Representation and Modeling
* 2014: Unsupervised Image Segmentation Contest
* 2015: Unsupervised detection of non-iris occlusions
* 2015: Unsupervised Surface Reflectance Field Multi-Segmenter
* 2015: Wood Veneer Species Recognition Using Markovian Textural Features
* 2016: Automatic Tortoise Specimen Recognition, An
* 2016: competition in unsupervised color image segmentation, A
* 2016: Scale Sensitivity of Textural Features
* 2016: Simultaneous visualization of samples, features and multi-labels
* 2016: Texture fidelity criterion
* 2016: Three-dimensional Gaussian mixture texture model
* 2016: Two Compound Random Field Texture Models
* 2018: BTF Compound Texture Model with Non- Parametric Control Field
* 2018: Dynamic Texture Similarity Criterion
* 2018: Evaluating physical and rendered material appearance
* 2018: Rotationally Invariant Bark Recognition
* 2019: Bark recognition using novel rotationally invariant multispectral textural features
* 2019: Coniferous Trees Needles-Based Taxonomy Classification
* 2019: Pseudocolor enhancement of mammogram texture abnormalities
* 2019: Texture spectral similarity criteria
* 2022: Texture Segmentation Benchmark
Includes: Haindl, M. Haindl, M.[Michal]
80 for Haindl, M.
Haines, A.E.
* 2015: Quality, quantity and precision of depth perception in stereoscopic displays
Haines, B.
* 1990: Machine-Vision Applications of Image Invariants: Real-Time Processing Experiments
* 2020: Improved GNSS-R Ocean Surface Altimetry With CYGNSS in the Seas of Indonesia
Haines, B.J.[Bruce J.]
* 2018: Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Quality Assessment and Unique Characteristics of AltiKa Data, The
Haines, E.[Eric]
* 2010: Guest Editor's Introduction: Special Section on the Symposium on Interactive 3D Graphics and Games (I3D)
Haines, J.[Justin]
* 2011: Vision-Based Control of a Multi-Rotor Helicopter
Haines, O.[Osian]
* 2012: Detecting planes and estimating their orientation from a single image
* 2014: Multi-User Egocentric Online System for Unsupervised Assistance on Object Usage
* 2014: You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video
* 2015: Interpreting the Structure of Single Images by Learning from Examples
* 2015: Recognising Planes in a Single Image
Haines, S.L.
* 2008: Spatial and Temporal Varying Thresholds for Cloud Detection in GOES Imagery
Haines, T.S.F.[Tom S. F.]
* 2007: Integrating Stereo with Shape-from-Shading derived Orientation Information
* 2008: Belief Propagation with Directional Statistics for Solving the Shape-from-Shading Problem
* 2008: Combining shape-from-shading and stereo using Gaussian-Markov random fields
* 2011: Active Learning using Dirichlet Processes for Rare Class Discovery and Classification
* 2011: Combining Probabilistic Shape-from-Shading and Statistical Facial Shape Models
* 2011: Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector
* 2012: Background Subtraction with Dirichlet Processes
* 2014: Active Rare Class Discovery and Classification Using Dirichlet Processes
* 2014: Background Subtraction with Dirichlet Process Mixture Models
* 2022: Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak
10 for Haines, T.S.F.
Hainich, R.R.[Rolf R.]
* 2011: Displays: Fundamentals and Applications
Hainosz, F.[Fabiano]
* 2011: Aerotriangulation Supported By Camera Station Position Determined Via Physical Integration Of Lidar And SLR Digital Camera
* 2012: Calibration Of Low Cost Digital Camera Using Data From Simultaneous Lidar And Photogrammetric Surveys
Includes: Hainosz, F.[Fabiano] Hainosz, F.
Hainsworth, T.J.
* 1988: Spatial Thresholding Method for Image Segmentation, A
* 1992: Deformable templates in image sequences
* 1993: Techniques for Online Gesture Recognition on Workstations
* 1996: Bayesian fused classification of medical images
* 1996: Hierarchical Bayesian Classification of Multimodal Medical Images
* 1997: Statistical Methods for Automatic Interpretation of Digitally Scanned Finger Prints
Hainy, S.[Siegfried]
* 1994: Panoramic camera with objective drum