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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1353

Jeon, Gwanggil

2024

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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

Remote sensing (Basel, Switzerland), 2023-06, Vol.15 (11), p.2876

Jeon, Gwanggil

2023

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Artificial Intelligence-Based Learning Approaches for Remote Sensing

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (20), p.5203

Jeon, Gwanggil

2022

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Entropy Algorithms Using Deep Learning for Signal Processing

Entropy (Basel, Switzerland), 2022-12, Vol.25 (1), p.23

Jeon, Gwanggil

2022

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Editorial for the Special Issue “Advanced Artificial Intelligence and Deep Learning for Remote Sensing”

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (15), p.2883

Jeon, Gwanggil

2021

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Information Entropy Algorithms for Image, Video, and Signal Processing

Entropy (Basel, Switzerland), 2021-07, Vol.23 (8), p.926

Jeon, Gwanggil

2021

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Object Counting in Remote Sensing via Triple Attention and Scale-Aware Network

Remote sensing (Basel, Switzerland), 2022-12, Vol.14 (24), p.6363

2022

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Remote Sensing Neural Radiance Fields for Multi-View Satellite Photogrammetry

Remote sensing (Basel, Switzerland), 2023-08, Vol.15 (15), p.3808

2023

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Secure Edge-Based Energy Management Protocol in Smart Grid Environments with Correlation Analysis

Sensors (Basel, Switzerland), 2022-11, Vol.22 (23), p.9236

2022

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Scene Changes Understanding Framework Based on Graph Convolutional Networks and Swin Transformer Blocks for Monitoring LCLU Using High-Resolution Remote Sensing Images

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3709

2022

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Concrete Bridge Defects Identification and Localization Based on Classification Deep Convolutional Neural Networks and Transfer Learning

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (19), p.4882

2022

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Multi-Focus Image Fusion Method for Vision Sensor Systems via Dictionary Learning with Guided Filter

Sensors (Basel, Switzerland), 2018-07, Vol.18 (7), p.2143

2018

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IoT Enabled Deep Learning Based Framework for Multiple Object Detection in Remote Sensing Images

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.4107

2022

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DCFusion: Dual-Headed Fusion Strategy and Contextual Information Awareness for Infrared and Visible Remote Sensing Image

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (1), p.144

2023

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Entropy-Based Algorithms for Signal Processing

Entropy (Basel, Switzerland), 2020-06, Vol.22 (6), p.621

2020

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Hybrid-Scale Hierarchical Transformer for Remote Sensing Image Super-Resolution

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (13), p.3442

2023

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Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates

Sensors (Basel, Switzerland), 2019-05, Vol.19 (9), p.2137

2019

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A Smart-Anomaly-Detection System for Industrial Machines Based on Feature Autoencoder and Deep Learning

Micromachines (Basel), 2023-01, Vol.14 (1), p.154

2023

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GPU-Accelerated Computation of EM Scattering of a Time-Evolving Oceanic Surface Model II: EM Scattering of Actual Oceanic Surface

Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (12), p.2727

2022

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Human Behavior Recognition via Hierarchical Patches Descriptor and Approximate Locality-Constrained Linear Coding

Sensors (Basel, Switzerland), 2023-05, Vol.23 (11), p.5179

2023

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Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (17), p.2815

2020

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Efficient Pansharpening by Joint-Modality Recursive Training

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.13376-13386

2024

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Multi-Scale Mixed Attention Network for CT and MRI Image Fusion

Entropy (Basel, Switzerland), 2022-06, Vol.24 (6), p.843

2022

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Two-Path Network with Feedback Connections for Pan-Sharpening in Remote Sensing

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1674

2020

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Bilateral Filtering and Directional Differentiation for Bayer Demosaicking

IEEE sensors journal, 2017-02, Vol.17 (3), p.726-734

2017

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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II

Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

Artificial Intelligence-Based Learning Approaches for Remote Sensing

Entropy Algorithms Using Deep Learning for Signal Processing

Editorial for the Special Issue “Advanced Artificial Intelligence and Deep Learning for Remote Sensing”

Information Entropy Algorithms for Image, Video, and Signal Processing

Object Counting in Remote Sensing via Triple Attention and Scale-Aware Network

Remote Sensing Neural Radiance Fields for Multi-View Satellite Photogrammetry

Secure Edge-Based Energy Management Protocol in Smart Grid Environments with Correlation Analysis

Scene Changes Understanding Framework Based on Graph Convolutional Networks and Swin Transformer Blocks for Monitoring LCLU Using High-Resolution Remote Sensing Images

Concrete Bridge Defects Identification and Localization Based on Classification Deep Convolutional Neural Networks and Transfer Learning

Multi-Focus Image Fusion Method for Vision Sensor Systems via Dictionary Learning with Guided Filter

IoT Enabled Deep Learning Based Framework for Multiple Object Detection in Remote Sensing Images

DCFusion: Dual-Headed Fusion Strategy and Contextual Information Awareness for Infrared and Visible Remote Sensing Image

Entropy-Based Algorithms for Signal Processing

Hybrid-Scale Hierarchical Transformer for Remote Sensing Image Super-Resolution

Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates

A Smart-Anomaly-Detection System for Industrial Machines Based on Feature Autoencoder and Deep Learning

GPU-Accelerated Computation of EM Scattering of a Time-Evolving Oceanic Surface Model II: EM Scattering of Actual Oceanic Surface

Human Behavior Recognition via Hierarchical Patches Descriptor and Approximate Locality-Constrained Linear Coding

Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”

Efficient Pansharpening by Joint-Modality Recursive Training

Multi-Scale Mixed Attention Network for CT and MRI Image Fusion

Two-Path Network with Feedback Connections for Pan-Sharpening in Remote Sensing

Bilateral Filtering and Directional Differentiation for Bayer Demosaicking

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