Lobe, A.[Amadeus]
* 2023: Joint Camera and LiDAR Risk Analysis
Lobel, H.[Hans]
* 2013: Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition
* 2013: Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework
* 2015: Learning Shared, Discriminative, and Compact Representations for Visual Recognition
* 2020: CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition
Lobel, P.
* 1997: Microwave Imaging: Reconstructions from Experimental-Data Using Conjugate-Gradient and Enhancement by Edge-Preserving Regularization
Lobell, D.
* 2017: Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning
* 2020: Farm Parcel Delineation Using Spatio-temporal Convolutional Networks
* 2020: Meta-Learning for Few-Shot Land Cover Classification
* 2021: Geography-Aware Self-Supervised Learning
Includes: Lobell, D. Lobell, D.[David]
Lobell, D.B.[David B.]
* 2016: Mapping Smallholder Wheat Yields and Sowing Dates Using Micro-Satellite Data
* 2017: Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa
* 2019: Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali
* 2020: High-Resolution Soybean Yield Mapping Across the US Midwest Using Subfield Harvester Data
* 2020: Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning
* 2020: Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
* 2021: Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates
* 2021: Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms
* 2022: Mapping Sugarcane in Central India with Smartphone Crowdsourcing
* 2022: Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision
* 2023: Canopy Height Mapping for Plantations in Nigeria Using GEDI, Landsat, and Sentinel-2
11 for Lobell, D.B.
Loberternos, R.A.
* 2016: Object-based Workflow Developed To Extract Aquaculture Ponds From Airborne Lidar Data: A Test Case In Central Visayas, Philippines, An
Lobeto, H.[Hector]
* 2024: Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data