Remote Sensing

Papers
(The median citation count of Remote Sensing is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5378
Digital Twin Technology Challenges and Applications: A Comprehensive Review307
Vision Transformers for Remote Sensing Image Classification305
Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019268
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis263
Review of Image Classification Algorithms Based on Convolutional Neural Networks262
Spatial-Spectral Transformer for Hyperspectral Image Classification235
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms196
Deep Learning-Based Change Detection in Remote Sensing Images: A Review176
Remote Sensing in Agriculture—Accomplishments, Limitations, and Opportunities176
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges175
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine157
Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0144
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images139
Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images137
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection136
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5134
Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin131
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5130
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges130
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis126
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation125
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research123
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review122
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images120
Improved Transformer Net for Hyperspectral Image Classification120
Efficient Transformer for Remote Sensing Image Segmentation118
Spatial Variability and Temporal Heterogeneity of Surface Urban Heat Island Patterns and the Suitability of Local Climate Zones for Land Surface Temperature Characterization118
A Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing118
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover116
Estimating the Characteristic Spatiotemporal Variation in Habitat Quality Using the InVEST Model—A Case Study from Guangdong–Hong Kong–Macao Greater Bay Area115
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images114
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR114
Hand Gestures Recognition Using Radar Sensors for Human-Computer-Interaction: A Review113
A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices111
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019109
Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images108
A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions108
Progress and Trends in the Application of Google Earth and Google Earth Engine107
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data107
CoralTemp and the Coral Reef Watch Coral Bleaching Heat Stress Product Suite Version 3.1106
Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology105
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth103
UAV-Based Forest Health Monitoring: A Systematic Review102
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images100
Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images100
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion100
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review99
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications98
Application of Combining YOLO Models and 3D GPR Images in Road Detection and Maintenance98
A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China97
Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data96
Digital Ecosystems for Developing Digital Twins of the Earth: The Destination Earth Case95
A Technical Review of Planet Smallsat Data: Practical Considerations for Processing and Using PlanetScope Imagery94
Transformers in Remote Sensing: A Survey94
Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review93
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review92
UAV-Based Remote Sensing Applications for Bridge Condition Assessment92
Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images91
An Overview on Visual SLAM: From Tradition to Semantic90
Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR90
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine90
Thermal Imaging for Plant Stress Detection and Phenotyping90
Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters89
Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods88
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends88
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review87
Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series87
A Review of Deep Learning in Multiscale Agricultural Sensing87
A Review of Irrigation Information Retrievals from Space and Their Utility for Users86
Digital Elevation Models: Terminology and Definitions86
A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers86
Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models86
Building Extraction from Remote Sensing Images with Sparse Token Transformers86
DR-Net: An Improved Network for Building Extraction from High Resolution Remote Sensing Image85
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation85
TRS: Transformers for Remote Sensing Scene Classification85
Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision85
Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs84
High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image84
Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform83
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images83
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images82
Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine81
An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products81
Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors81
Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision81
Transformer with Transfer CNN for Remote-Sensing-Image Object Detection81
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data81
Impacts of Drought and Climatic Factors on Vegetation Dynamics in the Yellow River Basin and Yangtze River Basin, China81
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection80
An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation80
From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning80
Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey80
Deep Learning for Land Cover Change Detection79
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning78
Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study78
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data78
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images78
CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection78
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery78
Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan77
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology77
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review77
Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review76
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms76
Advances in IoT and Smart Sensors for Remote Sensing and Agriculture Applications75
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions75
The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review74
Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management74
Drought Monitoring over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine73
Crop Type and Land Cover Mapping in Northern Malawi Using the Integration of Sentinel-1, Sentinel-2, and PlanetScope Satellite Data73
UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications73
Estimating Agricultural Soil Moisture Content through UAV-Based Hyperspectral Images in the Arid Region72
ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image72
Spatial and Temporal Differences in Alpine Meadow, Alpine Steppe and All Vegetation of the Qinghai-Tibetan Plateau and Their Responses to Climate Change72
Accuracy Improvements to Pixel-Based and Object-Based LULC Classification with Auxiliary Datasets from Google Earth Engine72
Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery71
Deep Learning for SAR Ship Detection: Past, Present and Future70
Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis70
Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images70
Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets69
Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function69
Land-Use and Land-Cover Classification Using a Human Group-Based Particle Swarm Optimization Algorithm with an LSTM Classifier on Hybrid Pre-Processing Remote-Sensing Images68
Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park68
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques68
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey68
MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover68
Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China68
Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques68
High-Accuracy Detection of Maize Leaf Diseases CNN Based on Multi-Pathway Activation Function Module68
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China67
Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review67
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine67
Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases67
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments66
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks66
Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey66
Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms66
Forest Fire Risk Prediction: A Spatial Deep Neural Network-Based Framework66
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility66
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery65
RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images64
Water Quality Retrieval from PRISMA Hyperspectral Images: First Experience in a Turbid Lake and Comparison with Sentinel-264
Improving the Resolution of GRACE Data for Spatio-Temporal Groundwater Storage Assessment64
Remote Sensing of Ocean Fronts in Marine Ecology and Fisheries64
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment64
Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing64
Initial Assessment of the COSMIC-2/FORMOSAT-7 Neutral Atmosphere Data Quality in NESDIS/STAR Using In Situ and Satellite Data63
Global Land Surface Temperature Change (2003–2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis63
The Post-Failure Spatiotemporal Deformation of Certain Translational Landslides May Follow the Pre-Failure Pattern63
Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks63
Accuracy, Bias, and Improvements in Mapping Crops and Cropland across the United States Using the USDA Cropland Data Layer63
Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests63
Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing63
NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau63
On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning62
A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years62
Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries62
CF2PN: A Cross-Scale Feature Fusion Pyramid Network Based Remote Sensing Target Detection62
N-YOLO: A SAR Ship Detection Using Noise-Classifying and Complete-Target Extraction62
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images62
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review62
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data62
Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries62
MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images61
An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification61
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm61
Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine61
First Estimation of Global Trends in Nocturnal Power Emissions Reveals Acceleration of Light Pollution61
Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN61
Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi61
Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning60
Coupling Analysis of Ecosystem Services Value and Economic Development in the Yangtze River Economic Belt: A Case Study in Hunan Province, China60
Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery60
Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector Machine Framework59
Effects of Land Use/Cover on Regional Habitat Quality under Different Geomorphic Types Based on InVEST Model59
CNN-Based Tree Species Classification Using High Resolution RGB Image Data from Automated UAV Observations59
A Satellite-Based High-Resolution (1-km) Ambient PM2.5 Database for India over Two Decades (2000–2019): Applications for Air Quality Management59
GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan59
A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm59
Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming59
Estimating Aboveground Biomass Using Sentinel-2 MSI Data and Ensemble Algorithms for Grassland in the Shengjin Lake Wetland, China59
Construction and Application of a Knowledge Graph59
Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-Scale Fusion58
Multi-Label Remote Sensing Image Scene Classification by Combining a Convolutional Neural Network and a Graph Neural Network58
Multi-Scale Ship Detection Algorithm Based on a Lightweight Neural Network for Spaceborne SAR Images58
CCTNet: Coupled CNN and Transformer Network for Crop Segmentation of Remote Sensing Images58
Sparse Label Assignment for Oriented Object Detection in Aerial Images57
The Development of A Rigorous Model for Bathymetric Mapping from Multispectral Satellite-Images57
Wildfire Segmentation Using Deep Vision Transformers57
An Adaptive Attention Fusion Mechanism Convolutional Network for Object Detection in Remote Sensing Images57
MultEYE: Monitoring System for Real-Time Vehicle Detection, Tracking and Speed Estimation from UAV Imagery on Edge-Computing Platforms57
Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia57
A Practical Cross-View Image Matching Method between UAV and Satellite for UAV-Based Geo-Localization57
Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy57
Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances57
Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China57
Continental-Scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)57
Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice56
Autonomous, Onboard Vision-Based Trash and Litter Detection in Low Altitude Aerial Images Collected by an Unmanned Aerial Vehicle56
Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data56
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images56
Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks56
Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery56
Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping56
Using Time Series Sentinel-1 Images for Object-Oriented Crop Classification in Google Earth Engine55
NDVI Dynamics and Its Response to Climate Change and Reforestation in Northern China55
Looking for Change? Roll the Dice and Demand Attention55
Automated Machine Learning for High-Throughput Image-Based Plant Phenotyping55
Atmospheric Light Estimation Based Remote Sensing Image Dehazing55
Analysis of the Future Land Use Land Cover Changes in the Gaborone Dam Catchment Using CA-Markov Model: Implications on Water Resources55
Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data55
Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks55
Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data55
Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method55
Landslide Detection and Mapping Based on SBAS-InSAR and PS-InSAR: A Case Study in Gongjue County, Tibet, China55
Hyperspectral Anomaly Detection Using Deep Learning: A Review54
Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach54
High-Resolution Mangrove Forests Classification with Machine Learning Using Worldview and UAV Hyperspectral Data54
Forest Fire Occurrence Prediction in China Based on Machine Learning Methods54
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery54
A Review of Crop Water Stress Assessment Using Remote Sensing54
MS-Faster R-CNN: Multi-Stream Backbone for Improved Faster R-CNN Object Detection and Aerial Tracking from UAV Images54
Tree Species Classification and Health Status Assessment for a Mixed Broadleaf-Conifer Forest with UAS Multispectral Imaging54
Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation54
Mapping of Urban Vegetation with High-Resolution Remote Sensing: A Review54
A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain54
UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement Learning and Meta-Learning53
Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label53
A Network Combining a Transformer and a Convolutional Neural Network for Remote Sensing Image Change Detection52
Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal52
Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices52
Remote Sensing Image Defogging Networks Based on Dual Self-Attention Boost Residual Octave Convolution52
Ship Detection in SAR Images Based on Multi-Scale Feature Extraction and Adaptive Feature Fusion52
Few-Shot Classification of Aerial Scene Images via Meta-Learning52
Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data52
Accuracy of Sentinel-1 PSI and SBAS InSAR Displacement Velocities against GNSS and Geodetic Leveling Monitoring Data51
Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery51
Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia51
Deep Learning-Based Thermal Image Analysis for Pavement Defect Detection and Classification Considering Complex Pavement Conditions51
Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting51
Feature Weighted Attention—Bidirectional Long Short Term Memory Model for Change Detection in Remote Sensing Images51
Impacts of Urbanization on the Muthurajawela Marsh and Negombo Lagoon, Sri Lanka: Implications for Landscape Planning towards a Sustainable Urban Wetland Ecosystem51
City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds51
Automatic Detection of Coseismic Landslides Using a New Transformer Method51
Hyperspectral Image Classification Based on Multi-Scale Residual Network with Attention Mechanism51
Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance50
A Review of Spectral Indices for Mangrove Remote Sensing50
Stochastic Remote Sensing Event Classification over Adaptive Posture Estimation via Multifused Data and Deep Belief Network50
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