Kent, B.
* 2004: Two layer segmentation for handling pathological motion in degraded post production media
Kent, D.
* 2006: Perception and Planning Architecture for Autonomous Ground Vehicles
Kent, E.
* 1997: Image Based Visual Motion Cue for Autonomous Navigation, An
Kent, E.W.
* 1986: Eyes for Automatons
* 1986: Model-Based Strategies for High-Level Robot Vision
* 1990: Architectures and Algorithms for Iconic-to-Symbolic Transformations
Includes: Kent, E.W. Kent, E.W.[Ernest W.]
Kent, J.
* 2017: Automatic Curation of Golf Highlights Using Multimodal Excitement Features
* 2019: Automatic Curation of Sports Highlights Using Multimodal Excitement Features
Kent, J.T.
* 1988: Spatial Classification Using Fuzzy Membership Models
* 1993: automatic classification of normal and abnormal chromosomes using image analysis, The
* 1994: Statistical Shape Methodology in Image Analysis
* 1996: Ridge Curves and Shape Analysis
* 1997: Estimation of Objects in Highly Variable Images Using Markov Chain Monte Carlo
* 2006: Intrinsic Random Fields and Image Deformations
Includes: Kent, J.T. Kent, J.T.[John T.]
Kent, K.[Kelcy]
* 2020: Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images
* 2020: Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection
* 2021: Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery, An
Kent, R.[Rafi]
* 2015: Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery
Kent, S.
* 1997: Sensitivity and Resolution Limit of Pulse-Echo Diffraction Tomography Imaging Systems
* 2016: Comparison of Open Source Compression Algorithms on VHR Remote Sensing Images For Efficient Storage Hierarchy
Kentaro, Y.[Yanagihara]
* 2015: Scene retrieval by unsupervised salient part discovery
Kenter, J.[Jeroen]
* 2022: Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs
Kentsch, S.[Sarah]
* 2020: Computer Vision and Deep Learning Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study
* 2020: Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data
* 2021: Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review
* 2021: Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning
* 2021: Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning