Index for lafo

LaFollette, P.S. * 1991: Isthmus Critical Points for Solving Jigsaw Puzzles in Computer Vision

Lafon, C.[Cyril] * 2024: Passive Elastography for Clinical HIFU Lesion Detection

Lafon, C.W.[Charles W.] * 2013: Computer-Based Synthetic Data to Assess the Tree Delineation Algorithm from Airborne LiDAR Survey

Lafon, S.[Stephane] * 2006: Data Fusion and Multicue Data Matching by Diffusion Maps
* 2006: Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameterization
* 2010: Google Street View: Capturing the World at Street Level
Includes: Lafon, S.[Stephane] Lafon, S.[Stéphane]

Lafon, V.[Virginie] * 2015: Toward Sentinel-2 High Resolution Remote Sensing of Suspended Particulate Matter in Very Turbid Waters: SPOT4 (Take5) Experiment in the Loire and Gironde Estuaries
* 2016: Supervised Classification of Very High Resolution Optical Images Using Wavelet-Based Textural Features
* 2017: Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters
Includes: Lafon, V.[Virginie] Lafon, V.

Lafond, C. * 2019: Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy

Lafond, D. * 2015: Don't overlook the human! Applying the principles of cognitive systems engineering to the design of intelligent video surveillance systems

LaFontaine, F.[Frank] * 2020: Gridded Satellite Sounding Retrievals in Operational Weather Forecasting: Product Description and Emerging Applications

LaFontaine, F.J. * 2008: Spatial and Temporal Varying Thresholds for Cloud Detection in GOES Imagery

Laforest, R.[Richard] * 2009: Exploring feature-based approaches in PET images for predicting cancer treatment outcomes

Laforgia, V. * 1998: Automatic Target Recognition For Naval Traffic Control Using Neural Networks

Lafortezza, R.[Raffaele] * 2016: Estimating Stand Volume and Above-Ground Biomass of Urban Forests Using LiDAR
* 2019: Remote Sensing in Urban Forestry: Recent Applications and Future Directions
* 2019: Remote Sensing of Urban Forests
* 2021: Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data
* 2022: Estimating 10-m land surface albedo from Sentinel-2 satellite observations using a direct estimation approach with Google Earth Engine

Lafortuna, C.[Claudio] * 2015: Towards an Engaging Mobile Food Record for Teenagers

Lafosse, L.[Ludivine] * 2021: Data-Driven Interpolation of Sea Surface Suspended Concentrations Derived from Ocean Colour Remote Sensing Data

Index for "l"


Last update: 6-May-24 16:26:51
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