Alpan, K.
* 2020: Prediction of Pollutant Concentrations By Meteorological Data Using Machine Learning Algorithms
* 2020: Tree Inventory Registration System
Alpanakis, N.[Nicolas]
* 2023: Remotely Sensed Agroclimatic Classification and Zoning in Water-Limited Mediterranean Areas towards Sustainable Agriculture
Alpar, O.
* 2016: Corona segmentation for nighttime brake light detection
* 2022: Nakagami-Fuzzy imaging framework for precise lesion segmentation in MRI
* 2022: Signature barcodes for online verification
Includes: Alpar, O. Alpar, O.[Orcan]
Alparone, L.
* 1994: Coarse-to-Fine Algorithm for Fast Median Filtering of Image Data with a Huge Number of Levels, A
* 1994: Content-driven differential encoding of an enhanced image pyramid
* 1996: novel approach to the suppression of false contours originated from Laplacian-of-Gaussian zero-crossings, A
* 1996: Three-Dimensional Lossless Compression Based on a Separable Generalized Recursive Interpolation
* 1997: Content-Matched Geometric Filtering of Image Subbands for Edge-Preserving Noise Reduction
* 1997: Encoding-Interleaved Hierarchical Interpolation for Lossless Image Compression
* 1997: Lossless Image Compression by Quantization Feedback in a Content-Driven Enhanced Laplacian Pyramid
* 1997: Multiresolution Adaptive Filtering of Signal-Dependent Noise Based on a Generalized Laplacian Pyramid
* 1997: Pyramid-Based Error-Bounded Encoder: An Evaluation on X-Ray Chest Images
* 1997: Pyramid-based multi-sensor image data fusion with enhancement of textural features
* 1998: Decimated Geometric Filter for Edge Preserving Smoothing of Nonwhite Image Noise
* 1998: Lossless image compression based on a fuzzy linear prediction with context based entropy coding
* 1998: Multiresolution Local-Statistics Speckle Filtering Based on a Ratio Laplacian Pyramid
* 1998: Pyramid-Based Multiresolution Adaptive Filters for Additive and Multiplicative Image Noise
* 1999: Color Constancy from Multispectral Images
* 1999: Estimation Based on Entropy Matching for Generalized Gaussian PDF Modeling
* 1999: Lossless Compression of Multi/Hyper-Spectral Imagery Based on a 3-D Fuzzy Prediction
* 1999: Lossless Image Compression based on Enhanced Fuzzy Regression Prediction
* 1999: Regularization of Optic Flow Estimates by Means of Weighted Vector Median Filtering
* 2000: Filterbanks Design for Multisensor Data Fusion
* 2000: Near-lossless Compression of Coherent Image Data
* 2001: Blind Image Estimation Through Fuzzy Matching Pursuits
* 2001: improved H.263 video coder relying on weighted median filtering of motion vectors, An
* 2001: Information-theoretic assessment of sampled hyperspectral imagers
* 2001: Near-lossless compression of 3-d optical data
* 2001: Near-lossless Compression of Coherent Image Data
* 2002: Context modeling for near-lossless image coding
* 2002: Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis
* 2002: Generalized Laplacian Pyramid-Based Fusion of MS + P Image Data with Spectral Distortion Minimization
* 2002: Near-Lossless Image Compression by Relaxation Labeled Prediction
* 2002: Speckle removal from SAR images in the undecimated wavelet domain
* 2003: Coherence estimation from multilook incoherent SAR imagery
* 2003: Image fusion: The ARSIS concept and some successful implementation schemes
* 2003: Multiresolution approaches to adaptive speckle reduction in synthetic aperture radar images
* 2005: Filtering of Interferometric SAR Phase Images as a Fuzzy Matching-Pursuit Blind Estimation
* 2005: Information-Theoretic Heterogeneity Measurement for SAR Imagery
* 2005: Virtually Lossless Compression of Astrophysical Images
* 2006: Comments on A New Algorithm for Border Description of Polarized Light Surface Microscopic Images of Pigmented Skin Lesions
* 2006: MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery
* 2006: Multiresolution MAP Despeckling of SAR Images Based on Locally Adaptive Generalized Gaussian pdf Modeling
* 2007: Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest
* 2008: Multispectral and Panchromatic Data Fusion Assessment Without Reference
* 2008: Segmentation-Based MAP Despeckling of SAR Images in the Undecimated Wavelet Domain
* 2009: Lossless Compression of Hyperspectral Images Using Multiband Lookup Tables
* 2009: Pansharpening of Hyperspectral images using spatial distortion optimization
* 2009: Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments
* 2011: Effects of multitemporal scene changes on pansharpening fusion
* 2011: robust change detection feature for Cosmo-SkyMed detected SAR images, A
* 2013: Bi-cubic interpolation for shift-free pan-sharpening
* 2013: Nonparametric Change Detection in Multitemporal SAR Images Based on Mean-Shift Clustering
* 2014: Blind Speckle Decorrelation for SAR Image Despeckling
* 2015: Critical Comparison Among Pansharpening Algorithms, A
* 2016: Spatial Methods for Multispectral Pansharpening: Multiresolution Analysis Demystified
* 2017: Intersensor Statistical Matching for Pansharpening: Theoretical Issues and Practical Solutions
* 2017: Sensitivity of Pansharpening Methods to Temporal and Instrumental Changes Between Multispectral and Panchromatic Data Sets
* 2018: Multispectral Pansharpening with Radiative Transfer-Based Detail-Injection Modeling for Preserving Changes in Vegetation Cover
* 2019: Fast Reproducible Pansharpening Based on Instrument and Acquisition Modeling: AWLP Revisited
* 2020: Accurate Despeckling and Estimation of Polarimetric Features by Means of a Spatial Decorrelation of the Noise in Complex PolSAR Data
* 2021: Reproducibility of Pansharpening Methods and Quality Indexes versus Data Formats
* 2022: Advantages of Nonlinear Intensity Components for Contrast-Based Multispectral Pansharpening
* 2023: Fusion of VNIR Optical and C-Band Polarimetric SAR Satellite Data for Accurate Detection of Temporal Changes in Vegetated Areas
* 2024: Spatial Resolution Enhancement of Vegetation Indexes via Fusion of Hyperspectral and Multispectral Satellite Data
Includes: Alparone, L. Alparone, L.[Luciano]
62 for Alparone, L.
Alparone, M.
* 2019: Adaptive L^p-Penalization Method to Enhance the Spatial Resolution of Microwave Radiometer Measurements, An
* 2021: Multichannel Data Fusion Method to Enhance the Spatial Resolution of Microwave Radiometer Measurements, A
* 2022: Comparison of Accelerated Versions of the Iterative Gradient Method to Ameliorate the Spatial Resolution of Microwave Radiometer Products
Includes: Alparone, M. Alparone, M.[Matteo]
Alparone, S.[Salvatore]
* 2019: Integration of Ground-Based Remote-Sensing and In Situ Multidisciplinary Monitoring Data to Analyze the Eruptive Activity of Stromboli Volcano in 2017-2018
* 2022: Characterization of an Active Fault through a Multiparametric Investigation: The Trecastagni Fault and Its Relationship with the Dynamics of Mt. Etna Volcano (Sicily, Italy)
Alparslan, E.
* 1980: Component-Wise Edge Detection by Laplacian Operator Masks
Alparslan, Y.[Yigit]
* 2020: Regularization and Sparsity for Adversarial Robustness and Stable Attribution
Alpaslan, N.[Nuh]
* 2015: Continuous rotation invariant features for gradient-based texture classification
* 2020: Multi-Scale Shape Index-Based Local Binary Patterns for Texture Classification
Alpaydin, E.[Ethem]
* 1992: Multiple neural networks and weighted voting
* 1997: Combining Multiple Representations and Classifiers for Pen-Based Handwritten Digit Recognition
* 1997: Fuzzy Error Diffusion of Color Images
* 2002: Feature selection for pose invariant face recognition
* 2002: Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition, A
* 2003: Optimal gabor kernel location selection for face recognition
* 2004: Incremental mixtures of factor analysers
* 2005: Cost-conscious classifier ensembles
* 2006: Ordering and Finding the Best of K>2 Supervised Learning Algorithms
* 2007: Learning the best subset of local features for face recognition
* 2010: Cost-conscious multiple kernel learning
* 2010: Localized Multiple Kernel Regression
* 2011: Canonical correlation analysis using within-class coupling
* 2011: Regularizing multiple kernel learning using response surface methodology
* 2012: Cost-conscious comparison of supervised learning algorithms over multiple data sets
* 2012: Soft decision trees
* 2013: Localized algorithms for multiple kernel learning
* 2014: Budding Trees
* 2015: Single- vs. multiple-instance classification
* 2016: BeamECOC: A local search for the optimization of the ECOC matrix
* 2020: Training bidirectional generative adversarial networks with hints
* 2021: Hierarchical Mixtures of Generators for Adversarial Learning
* 2022: Distributed Decision Trees
Includes: Alpaydin, E.[Ethem] Alpaydin, E.
23 for Alpaydin, E.