Ghamami, S.[Shahriar]
* 2019: Fractal properties and morphological investigation of nano-amiodarone using image processing
Ghamari, M.
* 2019: Nonlinear MMSE Equalizer for Impulsive Noise Mitigation in OFDM-Based Communications
Ghamary Asl, M.
* 2014: Unsupervised Feature Selection Using Geometrical Measures in Prototype Space for Hyperspectral Imagery
Ghamisi, P.
* 2014: Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction
* 2014: Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization
* 2014: Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields
* 2015: Novel Feature Selection Approach Based on FODPSO and SVM, A
* 2015: Survey on Spectral-Spatial Classification Techniques Based on Attribute Profiles, A
* 2016: Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
* 2016: Extinction Profiles for the Classification of Remote Sensing Data
* 2017: Deep Recurrent Neural Networks for Hyperspectral Image Classification
* 2017: Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
* 2017: Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis
* 2018: Deep Recurrent Neural Networks for Hyperspectral Image Classification
* 2018: Extinction Profiles Fusion for Hyperspectral Images Classification
* 2018: Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification
* 2018: Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets
* 2018: Generative Adversarial Networks for Hyperspectral Image Classification
* 2018: Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks
* 2018: MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection
* 2018: Noise Reduction in Hyperspectral Imagery: Overview and Application
* 2018: Random Forest Ensembles and Extended Multiextinction Profiles for Hyperspectral Image Classification
* 2018: Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification
* 2019: Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification
* 2019: Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
* 2019: Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification
* 2019: Deep Learning for Hyperspectral Image Classification: An Overview
* 2019: Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones
* 2019: Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification
* 2019: Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis
* 2019: Hyperspectral Image Classification with Multi-Scale Feature Extraction
* 2019: Hyperspectral Image Classification with Squeeze Multibias Network
* 2020: Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
* 2020: Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping
* 2020: Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm
* 2020: Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization
* 2020: Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global
* 2020: Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network
* 2020: Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis
* 2020: High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
* 2020: How Hyperspectral Image Unmixing and Denoising Can Boost Each Other
* 2020: Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
* 2020: Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization
* 2020: Multilevel Structure Extraction-Based Multi-Sensor Data Fusion
* 2020: Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices
* 2020: Texture-aware total variation-based removal of sun glint in hyperspectral images
* 2021: Classification of Hyperspectral Images via Multitask Generative Adversarial Networks
* 2021: Fusion of Dual Spatial Information for Hyperspectral Image Classification
* 2021: Hyperspectral Image Classification With Attention-Aided CNNs
* 2021: Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification
* 2021: Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint
* 2021: Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery
* 2022: Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations
* 2022: Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images
* 2022: Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples
* 2022: Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions, A
* 2022: Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning
* 2022: Normal Assisted Pixel-Visibility Learning With Cost Aggregation for Multiview Stereo
* 2022: Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification
* 2022: Supervised Contrastive Learning-Based Classification for Hyperspectral Image
* 2022: Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East
* 2023: Changes to Captions: An Attentive Network for Remote Sensing Change Captioning
* 2023: Guest Editorial: Spectral imaging powered computer vision
* 2023: Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region, An
* 2023: Semi-supervised Classification for Remote Sensing Datasets
* 2023: Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks
Includes: Ghamisi, P. Ghamisi, P.[Pedram]
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Ghamizi, S.[Salah]
* 2021: Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application
Ghamri Doudane, Y.
* 2020: On Link Stability Metric and Fuzzy Quantification for Service Selection in Mobile Vehicular Cloud
Includes: Ghamri Doudane, Y. Ghamri-Doudane, Y.
Ghamry, E.[Essam]
* 2020: First Pi2 Pulsation Observed by China Seismo-Electromagnetic Satellite, The
Ghamry, N.A.[Nivin A.]
* 2023: Deep Machine Learning Based Possible Atmospheric and Ionospheric Precursors of the 2021 Mw 7.1 Japan Earthquake
Ghamsarian, N.[Negin]
* 2021: Relevance Detection in Cataract Surgery Videos by Spatio- Temporal Action Localization