Melgani, F.
* 2000: Explicit Fuzzy Supervised Classification Method for Multispectral Remote Sensing Images, An
* 2002: Multisource data classification with dependence trees
* 2002: statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images, A
* 2003: markov random field approach to spatio-temporal contextual image classification, A
* 2005: Hierarchical Deterministic Image Watermarking via Polynomial Interpolation
* 2005: Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images, An
* 2006: Cell algorithms with data inflation for non-parametric classification
* 2006: Contextual Reconstruction of Cloud-Contaminated Multitemporal Multispectral Images
* 2006: Hierarchical ownership and deterministic watermarking of digital images via polynomial interpolation
* 2006: Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images
* 2007: Image thresholding based on the EM algorithm and the generalized Gaussian distribution
* 2007: Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation
* 2008: Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle
* 2009: Automatic Ground-Truth Validation With Genetic Algorithms for Multispectral Image Classification
* 2009: Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization
* 2009: Multiobjective Genetic SVM Approach for Classification Problems With Limited Training Samples, A
* 2010: Gaussian Process Approach to Remote Sensing Image Classification
* 2010: Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods
* 2012: Complete Processing Chain for Shadow Detection and Reconstruction in VHR Images, A
* 2013: Assessing the Reconstructability of Shadow Areas in VHR Images
* 2013: Missing-Area Reconstruction in Multispectral Images Under a Compressive Sensing Perspective
* 2013: Optical Image Classification: A Ground-Truth Design Framework
* 2014: Automatic Car Counting Method for Unmanned Aerial Vehicle Images
* 2014: Detecting Cars in UAV Images With a Catalog-Based Approach
* 2014: Detection of premature ventricular contraction arrhythmias in electrocardiogram signals with kernel methods
* 2014: SVM Active Learning Approach for Image Classification Using Spatial Information
* 2015: Compressive Sensing Approach to Describe Indoor Scenes for Blind People, A
* 2015: Multiclass Coarse Analysis for UAV Imagery
* 2016: Wave Period and Coastal Bathymetry Using Wave Propagation on Optical Images
* 2017: Complex-Valued Representation for RGB-D Object Recognition
* 2017: Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery, A
* 2017: Domain Adaptation Network for Cross-Scene Classification
* 2017: Fast indoor scene description for blind people with multiresolution random projections
* 2017: pool of deep models for event recognition, A
* 2018: Convolutional SVM Networks for Object Detection in UAV Imagery
* 2018: Reconstructing Cloud-Contaminated Multispectral Images With Contextualized Autoencoder Neural Networks
* 2018: Spatial and Structured SVM for Multilabel Image Classification
* 2019: Capsule Networks for Object Detection in UAV Imagery
* 2019: Domain Adversarial Neural Networks for Large-Scale Land Cover Classification
* 2019: High-Coverage Satellite-Based Coastal Bathymetry through a Fusion of Physical and Learning Methods
* 2019: Towards Automatic Extraction and Updating of VGI-Based Road Networks Using Deep Learning
* 2020: CSVM Architectures for Pixel-Wise Object Detection in High-Resolution Remote Sensing Images
* 2021: NMF with feature relationship preservation penalty term for clustering problems
* 2023: CapERA: Captioning Events in Aerial Videos
* 2023: Deep Learning-Based Apple Detection with Attention Module and Improved Loss Function in YOLO
* 2023: Remote Sensing Analysis for Vegetation Assessment of a Large-Scale Constructed Wetland Treating Produced Water Polluted with Oil Hydrocarbons
* 2024: Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery
* 2024: Machine-to-Machine Visual Dialoguing with ChatGPT for Enriched Textual Image Description
* 2024: Novel Hybrid Deep-Learning Approach for Flood-Susceptibility Mapping, A
* 2024: RS-LLaVA: A Large Vision-Language Model for Joint Captioning and Question Answering in Remote Sensing Imagery
* 2026: From Landslide Detection to Multi-Source LLM-Based Reporting: A Complete Framework for Rapid Assessment of Post-Disaster Scenarios
Includes: Melgani, F. Melgani, F.[Farid]
51 for Melgani, F.
Melgar, D.O.[D. Ocampo]
* 2020: Exploring the Fingerprints of Past Rain-on-Snow Events in a Central Andean Mountain Range Basin Using Satellite Imagery
Melgar, M.E.V.[Max E. Vizcarra]
* 2019: 2,2) XOR-based visual cryptography scheme without pixel expansion, A
Melgarejo Morales, A.[Angela]
* 2023: Ionospheric-Thermospheric Responses to Geomagnetic Storms from Multi-Instrument Space Weather Data
* 2023: Solar Flare Effects Observed over Mexico during 30-31 March 2022
Includes: Melgarejo Morales, A.[Angela] Melgarejo-Morales, A.[Angela]
Melgarejo, C.[Carlos]
* 2010: Feature Extraction Using Circular Statistics Applied to Volcano Monitoring
Melgarejo, D.[Damian]
* 2014: Semisupervised Approach to Non Technical Losses Detection
Includes: Melgarejo, D.[Damian] Melgarejo, D.[Damián]
Melgosa, M.[Manuel]
* 2004: Relative significance of the terms in the CIEDE2000 and CIE94 color-difference formulas
* 2006: Influence of random-dot textures on perception of suprathreshold color differences
* 2006: Performance of a color-difference formula based on OSA-UCS space using small-medium color differences
* 2009: Euclidean color-difference formula for small-medium color differences in log-compressed OSA-UCS space
* 2011: Generalization of color-difference formulas for any illuminant and any observer by assuming perfect color constancy in a color-vision model based on the OSA-UCS system
* 2011: Methods for computing weighting tables based on local power expansion for tristimulus values computations
* 2012: Evaluation of threshold color differences using printed samples
* 2013: Color-difference evaluation for digital images using a categorical judgment method
8 for Melgosa, M.