McDermid, G.[Greg]
* 2011: Automated backdating of transportation networks with Landsat imagery
* 2011: Semi-automated generation of a multi-temporal forest depletion layer with the Landcover Change Mapper (LCM)
* 2019: Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks
* 2023: Multi-Resolution Approach to Point Cloud Registration without Control Points, A
McDermid, G.J.[Gregory J.]
* 2016: Estimating Understory Temperatures Using MODIS LST in Mixed Cordilleran Forests
* 2017: Assessing the Value of UAV Photogrammetry for Characterizing Terrain in Complex Peatlands
* 2017: Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping
* 2017: Measuring Vegetation Height in Linear Disturbances in the Boreal Forest with UAV Photogrammetry
* 2017: New Method to Map Groundwater Table in Peatlands Using Unmanned Aerial Vehicles, A
* 2017: Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites
* 2019: Comparison of LiDAR and Digital Aerial Photogrammetry for Characterizing Canopy Openings in the Boreal Forest of Northern Alberta
* 2020: Forest Line Mapper: A Semi-Automated Tool for Mapping Linear Disturbances in Forests, The
* 2020: Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery
* 2020: Spatial Agreement among Vegetation Disturbance Maps in Tropical Domains Using Landsat Time Series
* 2020: Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems, A
* 2021: Satellite Time Series and Google Earth Engine Democratize the Process of Forest-Recovery Monitoring over Large Areas
* 2025: Mapping Trails and Tracks in the Boreal Forest Using LiDAR and Convolutional Neural Networks
Includes: McDermid, G.J.[Gregory J.] McDermid, G.J.[Greg J.]
13 for McDermid, G.J.
McDermid, J.[John]
* 2004: Plane Segmentation from Two Views in Reciprocal-Polar Image Space
McDermid, J.A.[John Alexander]
* 2021: Safety, Complexity, and Automated Driving: Holistic Perspectives on Safety Assurance
* 2024: Hazard and Safety Analysis of Machine-Learning-Based Perception Capabilities in Autonomous Vehicles
Includes: McDermid, J.A.[John Alexander] McDermid, J.A.[John A.]
McDermott, A.[Aidan]
* 2014: Canadian Forest Fires and the Effects of Long-Range Transboundary Air Pollution on Hospitalizations among the Elderly
McDermott, D.
* 1987: Terrain Analysis For Tactical Situation Assessment
McDermott, D.V.[Drew V.]
* 1999: Computational Vision at Yale
McDermott, H.J.
* 2015: Sound Coding in Cochlear Implants: From electric pulses to hearing
McDermott, J.
* 1985: Rule Based Interpretation of Aerial Imagery
* 2016: Diagnosing a disorder in a classification benchmark
* 2016: Visually Indicated Sounds
* 2018: Sound of Pixels, The
* 2020: Dissimilarity-based representations for one-class classification on time series
Includes: McDermott, J. McDermott, J.[James] McDermott, J.[Josh]
McDermott, J.H.[Josh H.]
* 2016: Ambient Sound Provides Supervision for Visual Learning
* 2017: Generative Modeling of Audible Shapes for Object Perception
* 2018: Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
* 2022: Finding Fallen Objects Via Asynchronous Audio-Visual Integration
Includes: McDermott, J.H.[Josh H.] McDermott, J.H.
McDermott, K.[Kyle]
* 2007: Fitting the World to the Mind: Transforming Images to Mimic Perceptual Adaptation
McDermott, K.C.[Kyle C.]
* 2012: Contrast adaptation reveals increased organizational complexity of chromatic processing in the visual evoked potential
* 2012: perceptual balance of color, The
* 2012: Tests of a functional account of the Abney effect
* 2012: Uniform color spaces and natural image statistics
McDermott, M.[Michael]
* 2020: Factors Influencing Movement of the Manila Dunes and Its Impact on Establishing Non-Native Species
McDermott, P.L.
* 2015: Scalable Architecture for Operational FMV Exploitation, A