Cushen, G.A.[George A.]
* 2012: Real-time Semantic Clothing Segmentation
Cushing, G.[Glen]
* 2005: Joint Analysis of Visible and Infrared Images: A Magic Airbrush for Qualitative and Quantitative Topography
Cushing, J.B.[Johnathan B.]
* 2016: Shannon information for joint estimation/detection tasks and complex imaging systems
Cushman, K.[KC]
* 2020: Supervised Segmentation of Ultra-High-Density Drone Lidar for Large-Area Mapping of Individual Trees
Cushman, K.C.[Katherine C.]
* 2020: Comparison of Smartphone and Drone Lidar Methods for Characterizing Spatial Variation in PAI in a Tropical Forest
* 2023: Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning
* 2023: Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground Biomass Products from Airborne Lidar Data
Includes: Cushman, K.C.[Katherine C.] Cushman, K.C.
Cushman, S.A.[Samuel A.]
* 2019: FracL: A Tool for Characterizing the Fractality of Landscape Gradients from a New Perspective
* 2021: Investigating Carnivore Guild Structure: Spatial and Temporal Relationships amongst Threatened Felids in Myanmar
* 2022: Geographic Complexity: Concepts, Theories, and Practices
* 2022: Pathwalker: A New Individual-Based Movement Model for Conservation Science and Connectivity Modelling
Cushman, T.
* 2002: Using optical imagery to enhance radar tracking performance