Aragaki, M.[Masami]
* 1990: Method of and apparatus for eliminating interblock distortion due to compressed image data
Aragaki, S.[Shunsuke]
* 2021: Differentiation of River Sediments Fractions in UAV Aerial Images by Convolution Neural Network
Aragaki, Y.[Yohei]
* 2009: Generation of Overhead View Images by Estimating Intrinsic and Extrinsic Camera Parameters of Multiple Fish-Eye Cameras
Aragam, N.R.[Nash R.]
* 2008: Survey and analysis of multimodal sensor planning and integration for wide area surveillance
Aragao, L.
* 2012: MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical-Savannas, A
* 2020: Optimizing Near Real-Time Detection of Deforestation on Tropical Rainforests Using Sentinel-1 Data
Includes: Aragao, L. Aragão, L.[Luiz]
Aragao, L.E.O.C.[Luiz E. O. C.]
* 2016: In Memorium: Thomas Hilker
* 2017: Chlorophyll Fluorescence Data Reveals Climate-Related Photosynthesis Seasonality in Amazonian Forests
* 2017: Spectral analysis of amazon canopy phenology during the dry season using a tower hyperspectral camera and modis observations
* 2018: Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images
* 2018: Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000-2015): Insights for remote sensing and climate analysis
* 2019: Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR
* 2019: Translating Fire Impacts in Southwestern Amazonia into Economic Costs
* 2019: Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis
* 2020: Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon
* 2020: Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images
* 2020: Tree Crown Delineation Algorithm Based on a Convolutional Neural Network
* 2022: Near Real-Time Fire Detection and Monitoring in the MATOPIBA Region, Brazil
Includes: Aragao, L.E.O.C.[Luiz E. O. C.] Aragão, L.E.O.C.[Luiz E. O. C.] Aragão, L.E.O.C.[Luiz E.O.C.]
12 for Aragao, L.E.O.C.
Araghi, H.
* 2019: K-Graphs: An Algorithm for Graph Signal Clustering and Multiple Graph Learning
Araghinejad, S.
* 2013: Monitoring of Snow Cover Variation Using MODIS Snow Product
Aragon Angel, A.[Angela]
* 2021: Galileo Ionospheric Correction Algorithm Integration into the Open-Source GNSS Laboratory Tool Suite (gLAB)
* 2022: Estimation of Polar Depletion Regions by VTEC Contrast and Watershed Enhancing
* 2023: Selection of Basic Functions for a Time-Varying Model of Unmodeled Errors in Medium and Long GNSS Baselines, The
Includes: Aragon Angel, A.[Angela] Aragon-Angel, A.[Angela]
Aragon Camarasa, G.[Gerardo]
* 2010: Unsupervised clustering in Hough space for recognition of multiple instances of the same object in a cluttered scene
* 2022: Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening
Includes: Aragon Camarasa, G.[Gerardo] Aragon-Camarasa, G.[Gerardo]
Aragon, A.
* 2020: Mixed Geospatial Methods Baseline Study to Evaluate and Model Gentrification Along the Westside Atlanta Beltline, Usa
Includes: Aragon, A. Aragón, A.
Aragon, B.[Bruno]
* 2018: Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle
* 2018: CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture
* 2019: Predicting Biomass and Yield At Harvest of Salt-stressed Tomato Plants Using UAV Imagery
* 2021: Combining Nadir, Oblique, and Façade Imagery Enhances Reconstruction of Rock Formations Using Unmanned Aerial Vehicles
* 2021: Overcoming the Challenges of Thermal Infrared Orthomosaics Using a Swath-Based Approach to Correct for Dynamic Temperature and Wind Effects
Includes: Aragon, B.[Bruno] Aragon, B.
Aragon, J.[Juan]
* 2023: Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition
Aragon, J.D.C.[Juan D. Cisneros]
* 2005: Identifying Precursory Cancer Lesions Using Temporal Texture Analysis
Aragon, J.L.
* 2008: Turbulent Luminance in Impassioned van Gogh Paintings
Includes: Aragon, J.L. Aragón, J.L.
Aragon, M.E.
* 2018: Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings: Addressing Who's Who
* 2023: Detecting Mental Disorders in Social Media Through Emotional Patterns: The Case of Anorexia and Depression
Includes: Aragon, M.E. Aragón, M.E. Aragón, M.E.[Mario Ezra]
Aragona, D.[Dario]
* 2023: Are we certain it's anomalous?
Aragones, A.[Amy]
* 2012: Person-specific expression recognition with transfer learning
* 2013: Learning person-specific models for facial expression and action unit recognition
Aragones, D.[David]
* 2016: Effect of Protection Level in the Hydroperiod of Water Bodies on Doñana's Aeolian Sands
* 2016: Hyperspectral Sensors as a Management Tool to Prevent the Invasion of the Exotic Cordgrass Spartina densiflora in the Doñana Wetlands
* 2016: Long-Term Monitoring of the Flooding Regime and Hydroperiod of Doñana Marshes with Landsat Time Series (1974-2014)
* 2017: Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy
* 2018: Fast and Automatic Data-Driven Thresholding for Inundation Mapping with Sentinel-2 Data
* 2020: Can We Use Satellite-Based Soil-Moisture Products at High Resolution to Investigate Land-Use Differences and Land-Atmosphere Interactions? A Case Study in the Savanna
Includes: Aragones, D.[David] Aragonés, D.[David]