Lies, P.[Philipp]
* 2008: Functional Object Class Detection Based on Learned Affordance Cues
Liesaputra, V.[Veronica]
* 2024: Feature specific progressive improvement for salient object detection
Liesegang, M.[Moritz]
* 2022: Image Registration Model in Electron Backscatter Diffraction, An
Liesegang, S.
* 2019: Ship Detection in SAR Images Based on Maxtree Representation and Graph Signal Processing
Liesenberg, V.[Veraldo]
* 2017: Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil
* 2018: Multifrequency and Full-Polarimetric SAR Assessment for Estimating Above Ground Biomass and Leaf Area Index in the Amazon Várzea Wetlands
* 2019: Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq
* 2019: Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry
* 2019: Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks
* 2019: Optical and SAR Remote Sensing Synergism for Mapping Vegetation Types in the Endangered Cerrado/Amazon Ecotone of Nova Mutum: Mato Grosso
* 2019: Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
* 2019: Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data
* 2020: Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data
* 2020: GIS-Based Modeling for Selection of Dam Sites in the Kurdistan Region, Iraq
* 2020: Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery, A
* 2020: Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements, A
* 2021: ATSS Deep Learning-Based Approach to Detect Apple Fruits
* 2021: Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau
* 2021: CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery, A
* 2021: New Insight on Soil Loss Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt
* 2021: Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning
* 2021: TLS and Short-range Photogrammetric Data Fusion for Buildings 3d Modeling
* 2022: Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery
* 2023: Application of Hydro-Based Morphological Models for Environmental Assessment of Watersheds
* 2023: Insights for Estimating and Predicting Reservoir Sedimentation Using the RUSLE-SDR Approach: A Case of Darbandikhan Lake Basin, Iraq-Iran
Includes: Liesenberg, V.[Veraldo] Liesenberg, V.
21 for Liesenberg, V.
Lieshout, M.C.[Marie Colette]
* 2005: Algorithm for Binary Image Segmentation Using Polygonal Markov Fields, An
Includes: Lieshout, M.C.[Marie Colette] Lieshout, M.C.[Marie-Colette]
Lieskovsky, J.[Juraj]
* 2023: Unlocking the Potential of Remote Sensing in Wind Erosion Studies: A Review and Outlook for Future Directions
Includes: Lieskovsky, J.[Juraj] Lieskovský, J.[Juraj]
Lieskovsky, M.
* 2016: Unmanned Aerial Vehicle Use For Wood Chips Pile Volume Estimation
Includes: Lieskovsky, M. Lieskovský, M.
Lieskovsky, T.[Tibor]
* 2020: Semantic Segmentation of Airborne LiDAR Data in Maya Archaeology
Includes: Lieskovsky, T.[Tibor] Lieskovský, T.[Tibor]
Liestol, G.[Gunnar]
* 2014: Along the Appian Way. Storytelling and Memory across Time and Space in Mobile Augmented Reality
Includes: Liestol, G.[Gunnar] Liestřl, G.[Gunnar]
Liestol, K.
* 1997: Prognosis of Cervical Cancer Using Image Analysis of Cell Nuclei