Saat, M.S.M.D.[Mohd Shakir M. D.]
* 2012: Robust H-inf state feedback control of networked control systems with congestion control
Saat, S.[Shakir]
* 2012: Disturbance attenuation for a class of uncertain polynomial discrete-time systems: An integrator approach
* 2012: Nonlinear robust state feedback control of uncertain polynomial discrete-time systems: An integral action approach
Saatchi, S.[Sara]
* 2005: Hybridization of the Ant Colony Optimization with the K-Means Algorithm for Clustering
* 2007: Estimation of Forest Fuel Load From Radar Remote Sensing
* 2012: Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model
* 2012: Plant Species Richness is Associated with Canopy Height and Topography in a Neotropical Forest
* 2013: Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA
* 2013: Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model
* 2013: Impacts of Spatial Variability on Aboveground Biomass Estimation from L-Band Radar in a Temperate Forest
* 2014: Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter, An
* 2015: L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark
* 2015: Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture, A
* 2015: Sensitivity of Pol-InSAR Measurements to Vegetation Parameters
* 2015: Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry
* 2016: Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory
* 2016: Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests
* 2017: Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data
* 2017: Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest
* 2018: Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes
* 2018: Topography and Three-Dimensional Structure Can Estimate Tree Diversity along a Tropical Elevational Gradient in Costa Rica
* 2019: Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests, A
* 2020: Evaluation of the Sensitivity of SMOS L-VOD to Forest Above-Ground Biomass at Global Scale
* 2021: Evaluation of P-Band SAR Tomography for Mapping Tropical Forest Vertical Backscatter and Tree Height
* 2022: Assessing the Predictive Power of Democratic Republic of Congo's National Spaceborne Biomass Map over Independent Test Samples
* 2023: Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to 2021
* 2023: Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground Biomass Products from Airborne Lidar Data
* 2024: Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction, The
Includes: Saatchi, S.[Sara] Saatchi, S. Saatchi, S.[Sassan]
25 for Saatchi, S.
Saatchi, S.S.
* 2000: Use of Decision Tree and Multiscale Texture for Classification of JERS-1 SAR Data over Tropical Forest, The
* 2012: Assessing Performance of L- and P-Band Polarimetric Interferometric SAR Data in Estimating Boreal Forest Above-Ground Biomass
* 2014: Effect of Variable Soil Moisture Profiles on P-Band Backscatter, The
* 2014: Remote Sensing Assessment of Forest Disturbance across Complex Mountainous Terrain: The Pattern and Severity of Impacts of Tropical Cyclone Yasi on Australian Rainforests
* 2016: Abiotic Controls on Macroscale Variations of Humid Tropical Forest Height
* 2021: New Forest Aboveground Biomass Maps of China Integrating Multiple Datasets
Includes: Saatchi, S.S. Saatchi, S.S.[Sassan S.]
Saatci, E.[Ertugrul]
* 2018: Determination of the minimum sampling frequency in bandpass sampling by geometric approach and geometric programming
* 2018: Determination of the minimum sampling frequency in bandpass sampling by geometric approach and geometric programming
* 2020: Period Determination in Cyclo-Stationary Signals by Autocorrelation and Ramanujan Subspaces
* 2020: Period Determination in Cyclo-Stationary Signals by Autocorrelation and Ramanujan Subspaces
Includes: Saatci, E.[Ertugrul] Saatci, E.[Esra]
Saatci, Y.
* 2006: Cascaded Classification of Gender and Facial Expression using Active Appearance Models
* 2015: Scaling Multidimensional Inference for Structured Gaussian Processes
Saathoff, C.[Carsten]
* 2005: Ontology Infrastructure for Multimedia Reasoning, An
* 2006: Knowledge representation and semantic annotation of multimedia content
* 2008: Describing low-level image features using the COMM ontology
* 2011: comparative study of object-level spatial context techniques for semantic image analysis, A
Includes: Saathoff, C.[Carsten] Saathoff, C.
Saathoff, H.[Harald]
* 2022: Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case
Saati, M.[Mehdi]
* 2016: Road Network Extraction from VHR Satellite Images Using Context Aware Object Feature Integration and Tensor Voting