Luss, H.
* 2010: Optimal Content Distribution in Video-on-Demand Tree Networks
Lussem, U.
* 2016: Combined Analysis Of Sentinel-1 And Rapideye Data For Improved Crop Type Classification: An Early Season Approach For Rapeseed And Cereals
* 2019: Potential of Non-calibrated Uav-based Rgb Imagery for Forage Monitoring: Case Study At The Rengen Long-term Grassland Experiment (RGE), Germany
* 2019: Ultra-high Spatial Resolution Uav-based Imagery to Predict Biomass In Temperate Grasslands
* 2020: First Investigation of Mediterranean Oak Tree Vitality With High-resolution Worldview-3 Satellite Data: Comparing Ten Vegetation Indices and Three Machine Learning Classifiers
* 2022: Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning
Includes: Lussem, U. Lussem, U.[Ulrike]
Lussert, J.M.
* 1994: Fourier phase shift location estimation of unfocused optical point spread functions
* 1994: Motion estimation and compensation technologies for standards conversion
Lussi, R.
* 2019: Reversible Data Hiding With Automatic Brightness Preserving Contrast Enhancement
Lussu, V.[Vincenzo]
* 2016: Using the Audio Respiration Signal for Multimodal Discrimination of Expressive Movement Qualities