Cleveland IV, T.E.[Thomas E.]
* 2022: Characterization of AI Model Configurations for Model Reuse
Cleveland, W.L.[W. Louis]
* 2005: Effective automatic recognition of cultured cells in bright field images using fisher's linear discriminant preprocessing
* 2008: Multiclass cell detection in bright field images of cell mixtures with ECOC probability estimation
Cleveland, W.P.
* 2013: Reliably Creating Collision Avoidance Advisories in Piloted Simulations
Clevenger, M.
* 2014: Design and development of a virtual reality system for vocational rehabilitation of individuals with disabilities
Clever, H.M.
* 2020: Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data
* 2023: BodyPressure - Inferring Body Pose and Contact Pressure From a Depth Image
Includes: Clever, H.M. Clever, H.M.[Henry M.]
Clever, S.[Sebastian]
* 2005: Probabilistic Color Optical Flow
Cleverly, J.
* 2017: SMAP Level 4 Carbon Product for Monitoring Ecosystem Land-Atmosphere CO2 Exchange, The
* 2020: Creating New Near-Surface Air Temperature Datasets to Understand Elevation-Dependent Warming in the Tibetan Plateau
* 2022: Assessing the Impact of Extreme Droughts on Dryland Vegetation by Multi-Satellite Solar-Induced Chlorophyll Fluorescence
* 2022: Land surface phenology retrievals for arid and semi-arid ecosystems
* 2022: Spatiotemporal Variations of Dryland Vegetation Phenology Revealed by Satellite-Observed Fluorescence and Greenness across the North Australian Tropical Transect
Includes: Cleverly, J. Cleverly, J.[James] Cleverly, J.[Jamie]
Clevers, J.G.P.W.
* 2010: Merging the Minnaert-k Parameter With Spectral Unmixing to Map Forest Heterogeneity With CHRIS/PROBA Data
* 2011: Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping
* 2013: Assessing Water Stress of Desert Tamarugo Trees Using in situ Data and Very High Spatial Resolution Remote Sensing
* 2015: Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods: A comparison
* 2015: Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties: A review
* 2015: Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer Mounted on UAV and a Laboratory Goniometer: Preliminary Results
* 2016: Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle: Results for Barley, Winter Wheat, and Potato
* 2017: Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle
* 2017: Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop
* 2018: Forest Cover and Vegetation Degradation Detection in the Kavango Zambezi Transfrontier Conservation Area Using BFAST Monitor
* 2018: Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57
* 2018: Predicting forest height using the GOST, Landsat 7 ETM+, and airborne LiDAR for sloping terrains in the Greater Khingan Mountains of China
* 2020: Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI
* 2021: Assessing a Prototype Database for Comprehensive Global Aquatic Land Cover Mapping
Includes: Clevers, J.G.P.W. Clevers, J.G.P.W.[Jan G. P. W.] Clevers, J.G.P.W.[Jan G.P.W.]
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