Serbaji, M.M.[Mohamed Moncef]
* 2021: Quantitative Retrieval of Volcanic Sulphate Aerosols from IASI Observations
Serban, A.[Alex]
* 2020: Adversarial Examples on Object Recognition: A Comprehensive Survey
Serban, I.
* 2009: Fast 2-D AR Parameter Estimation Algorithm Based on Functional Schur Coefficients, A
Serban, M.[Mihaela]
* 2021: 46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
* 2023: Impacts of National Highway G214 on Vegetation in the Source Area of Yellow and Yangtze Rivers on the Southern Qinghai Plateau, West China
Serban, N.
* 2001: Facial Asymmetry: A New Biometric
Serban, R.D.[Raul David]
* 2021: 46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification
* 2023: Impacts of National Highway G214 on Vegetation in the Source Area of Yellow and Yangtze Rivers on the Southern Qinghai Plateau, West China
Includes: Serban, R.D.[Raul David] Serban, R.D.[Raul-David] Serban, R.D.[Raul-D.]
Serban, S.T.
* 2012: Recovering People Tracking Errors Using Enhanced Covariance-Based Signatures
Serbes, A.
* 2017: Compact Fractional Fourier Domains
* 2020: Fast Method for Estimating Frequencies of Multiple Sinusoidals, A
* 2024: Novel DFT-Based Algorithm for 2-D Multiple Sinusoidal Frequency Estimation, A
Includes: Serbes, A. Serbes, A.[Ahmet]
Serbetci, A.[Ayse]
* 2020: End-to-end training of CNN ensembles for person re-identification
Serbin, G.
* 2009: Improved ASTER Index for Remote Sensing of Crop Residue, An
* 2021: Evaluation of SWIR Crop Residue Bands for the Landsat Next Mission
* 2022: Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization
Includes: Serbin, G. Serbin, G.[Guy]
Serbin, S.
* 1996: Graph Matching Using a Direct Classification of Node Attendance
Serbin, S.P.[Shawn P.]
* 2013: Investigating the Utility of Wavelet Transforms for Inverting a 3-D Radiative Transfer Model Using Hyperspectral Data to Retrieve Forest LAI
* 2016: Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity
* 2016: Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity
* 2020: Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra, A
* 2022: Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies
Serbouti, I.[Imane]
* 2022: Improved Lithological Map of Large Complex Semi-Arid Regions Using Spectral and Textural Datasets within Google Earth Engine and Fused Machine Learning Multi-Classifiers
Serby, D.
* 2004: Probabilistic object tracking using multiple features