Bris, A.L.[Anthony Le]
* 2022: Seaweed Habitats on the Shore: Characterization through Hyperspectral UAV Imagery and Field Sampling
Brisaboa, N.[Nieves]
* 2014: largest empty rectangle containing only a query object in Spatial Databases, The
Brisbane, G.
* 2005: High-capacity steganography using a shared colour palette
Brisbin, M.[Matt]
* 2006: Natural Interface for Sign Language Mathematics, A
Brisc, F.
* 2004: Multi-resolution volumetric reconstruction using labeled regions
Brisco, B.[Brian]
* 2014: Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
* 2015: Collection of SAR Methodologies for Monitoring Wetlands, A
* 2015: Validation of Spaceborne Radar Surface Water Mapping with Optical sUAS Images
* 2016: Estimation of Paddy Rice Variables with a Modified Water Cloud Model and Improved Polarimetric Decomposition Using Multi-Temporal RADARSAT-2 Images
* 2016: Operational Surface Water Detection and Monitoring Using Radarsat 2
* 2017: Seasonal Change in Wetland Coherence as an Aid to Wetland Monitoring
* 2017: Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study
* 2018: Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands
* 2018: Spectral analysis of wetlands using multi-source optical satellite imagery
* 2019: Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results
* 2019: Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada
* 2019: Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification
* 2019: PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping, A
* 2019: SAR and Lidar Temporal Data Fusion Approaches to Boreal Wetland Ecosystem Monitoring
* 2019: SAR Backscatter and InSAR Coherence for Monitoring Wetland Extent, Flood Pulse and Vegetation: A Study of the Amazon Lowland
* 2019: Wetland Classification with Multi-Angle/Temporal SAR Using Random Forests
* 2020: Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada
* 2020: Automated SAR Image Thresholds for Water Mask Production in Alberta's Boreal Region
* 2020: Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
* 2020: Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission
* 2020: Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models
* 2020: Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America
* 2020: Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management
* 2020: Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change
* 2020: Wetland Hydroperiod Change Along the Upper Columbia River Floodplain, Canada, 1984 to 2019
* 2020: Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review
* 2021: Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery
* 2021: InSAR Coherence Analysis for Wetlands in Alberta, Canada Using Time-Series Sentinel-1 Data
* 2021: Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin
* 2021: Remote Sensing of Wetlands in the Prairie Pothole Region of North America
* 2021: Response of Multi-Incidence Angle Polarimetric RADARSAT-2 Data to Herbaceous Vegetation Features in the Lower Paraná River Floodplain, Argentina
* 2021: Seasonal Surface Subsidence and Frost Heave Detected by C-Band DInSAR in a High Arctic Environment, Cape Bounty, Melville Island, Nunavut, Canada
* 2021: Status and Trends of Wetland Studies in Canada Using Remote Sensing Technology with a Focus on Wetland Classification: A Bibliographic Analysis
* 2022: Applying Machine Learning and Time-Series Analysis on Sentinel-1A SAR/InSAR for Characterizing Arctic Tundra Hydro-Ecological Conditions
* 2022: Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies
* 2022: Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies
* 2022: Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada
* 2022: Forty Years of Wetland Status and Trends Analyses in the Great Lakes Using Landsat Archive Imagery and Google Earth Engine
* 2022: RADARSAT Constellation Mission Core Applications: First Results, The
* 2022: Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research
* 2022: Wetland Hydroperiod Analysis in Alberta Using InSAR Coherence Data
* 2023: Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification
Includes: Brisco, B.[Brian] Brisco, B.
42 for Brisco, B.
Briscoe, D.[Dana]
* 2021: Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks
Brisebard, F.
* 2020: Inferring the Scale and Content of A Map Using Deep Learning
Brisebois, A.[Alexandre]
* 2004: Implementation and evaluation of a hypercube-based method for spatiotemporal exploration and analysis
Briseno Reyes, J.[Jaime]
* 2022: Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area
Includes: Briseno Reyes, J.[Jaime] Briseño-Reyes, J.[Jaime]
Briseno, A.[Alejandra]
* 2023: Analysis of Depths Derived by Airborne Lidar and Satellite Imaging to Support Bathymetric Mapping Efforts with Varying Environmental Conditions: Lower Laguna Madre, Gulf of Mexico
Briseno, N.[Natalia]
* 2023: Treatment of Anorexia Nervosa Through Virtual Reality-based Body Exposure and Reduction of Attentional Bias
Includes: Briseno, N.[Natalia] Briseño, N.[Natalia]
Brisepierre, F.
* 1996: Original Approach for Extracting Circular Shapes from Technical Charts, An
Brishtel, I.[Iuliia]
* 2021: To Drive or to Be Driven? The Impact of Autopilot, Navigation System, and Printed Maps on Driver's Cognitive Workload and Spatial Knowledge
Brisinda, D.[Donatella]
* 2007: Is There Any Place for Magnetocardiographic Imaging in the Era of Robotic Ablation of Cardiac Arrhythmias?
Briskman, J.[Jonathan]
* 2015: Block Kaczmarz Method with Inequalities
Brislawn, C.M.
* 2002: Feature extraction from hyperspectral images compressed using the jpeg-2000 standard
* 2012: Subband coding for large-scale scientific simulation data using JPEG 2000
Includes: Brislawn, C.M. Brislawn, C.M.[Christopher M.]
Brismar, H.
* 2019: Joint Image Deconvolution and Separation Using Mixed Dictionaries
Briso Rodriguez, C.
* 2014: Challenges Toward Wireless Communications for High-Speed Railway
* 2015: Measurements and Analysis of Large-Scale Fading Characteristics in Curved Subway Tunnels at 920 MHz, 2400 MHz, and 5705 MHz
Includes: Briso Rodriguez, C. Briso-Rodriguez, C.
Brisset, M.[Maele]
* 2021: Hindcast and Near Real-Time Monitoring of Green Macroalgae Blooms in Shallow Coral Reef Lagoons Using Sentinel-2: A New-Caledonia Case Study
Includes: Brisset, M.[Maele] Brisset, M.[Maële]
Brissman, E.[Emil]
* 2019: Generative Appearance Model for End-To-End Video Object Segmentation, A
* 2023: Recurrent Graph Neural Networks for Video Instance Segmentation
Brisson, E.
* 1996: Algorithm for the Medial Axis Transform of 3D Polyhedral Solids, An
Bristor, C.L.
* 1970: earth location of geostationary satellite imagery, The
Bristow, A.L.
* 2012: Map-Aided Integrity Monitoring of a Land Vehicle Navigation System
Bristow, C.S.[Charles S.]
* 2019: Bounding Surfaces in a Barchan Dune: Annual Cycles of Deposition? Seasonality or Erosion by Superimposed Bedforms?
* 2019: Measuring Sand Dune Migration Rates with COSI-Corr and Landsat: Opportunities and Challenges
Includes: Bristow, C.S.[Charles S.] Bristow, C.S.[Charlie S.]
Bristow, H.[Hilton]
* 2012: V1-Inspired Features Induce a Weighted Margin in SVMs
* 2013: Fast Convolutional Sparse Coding
* 2015: Dense Semantic Correspondence Where Every Pixel is a Classifier
Bristow, J.[James]
* 2021: Likelihood-free Bayesian inference framework for sizing kiwifruit from orchard imaging surveys
Bristow, M.[Mila]
* 2018: Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango