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R-CNN-Based Ship Detection from High Resolution Remote Sensing Imagery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Novel Ship Detection Method Based on Sea State Analysis from Optical Imagery
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Very deep learning for ship discrimination in Synthetic Aperture Radar imagery
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The application of wavelets correlator for ship wake detection in sar images
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A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features
inferredcites →https://doi.org/10.1109/tgrs.2013.2282355openalex-snapshot
Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature
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An Improved Iterative Censoring Scheme for CFAR Ship Detection With SAR Imagery
inferredcites →https://doi.org/10.1109/tgrs.2014.2335751openalex-snapshot
Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine
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Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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inferredcites →https://doi.org/10.3390/app7090961openalex-snapshot
Application of Artificial Neural Networks to Ship Detection from X-Band Kompsat-5 Imagery
inferredcites →https://doi.org/10.3390/ijgi6060159openalex-snapshot
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inferredcites →https://doi.org/10.3390/rs10030400openalex-snapshot
Ship Detection in Optical Remote Sensing Images Based on Saliency and a Rotation-Invariant Descriptor
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An efficient ship detection method for KOMPSAT-5 synthetic aperture radar imagery based on adaptive filtering approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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МЕТОДИКА РОЗРОБКИ КАСКАДНОЇ МОДЕЛІ РОЗРАХУНКУ КООРДИНАТ СУДНА НА ОСНОВІ ГЛИБОКОГО НАВЧАННЯ
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inferred← citeshttps://doi.org/10.3389/fmars.2023.1112955openalex-snapshot
Cross-sensor vision system for maritime object detection
inferred← citeshttps://doi.org/10.3389/fmars.2023.1113669openalex-snapshot
Instance segmentation ship detection based on improved Yolov7 using complex background SAR images
inferred← citeshttps://doi.org/10.3389/frai.2025.1508664openalex-snapshot
Edge computing for detection of ship and ship port from remote sensing images using YOLO
inferred← citeshttps://doi.org/10.3390/app13042078openalex-snapshot
A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects
inferred← citeshttps://doi.org/10.3390/app16157462openalex-snapshot
MS-YOLO: A Satellite Remote Sensing Image Power Tower Detection Algorithm Based on Multi-Scale Feature Extraction and Small Object Enhancement
inferred← citeshttps://doi.org/10.3390/drones6010019openalex-snapshot
Improving the Model for Person Detection in Aerial Image Sequences Using the Displacement Vector: A Search and Rescue Scenario
inferred← citeshttps://doi.org/10.3390/electronics11050739openalex-snapshot
Modified Yolov3 for Ship Detection with Visible and Infrared Images
inferred← citeshttps://doi.org/10.3390/electronics9091459openalex-snapshot
Multimodel Deep Learning for Person Detection in Aerial Images
inferred← citeshttps://doi.org/10.3390/ijgi11080445openalex-snapshot
VHRShips: An Extensive Benchmark Dataset for Scalable Deep Learning-Based Ship Detection Applications
inferred← citeshttps://doi.org/10.3390/jimaging10120303openalex-snapshot
Enhanced YOLOv8 Ship Detection Empower Unmanned Surface Vehicles for Advanced Maritime Surveillance
inferred← citeshttps://doi.org/10.3390/jmse11010191openalex-snapshot
Deep Learning-Based Ship Speed Prediction for Intelligent Maritime Traffic Management
inferred← citeshttps://doi.org/10.3390/jmse11020452openalex-snapshot
A Novel Intelligent Detection Algorithm of Aids to Navigation Based on Improved YOLOv4
inferred← citeshttps://doi.org/10.3390/jmse11071259openalex-snapshot
A Deep Learning Method for Ship Detection and Traffic Monitoring in an Offshore Wind Farm Area
inferred← citeshttps://doi.org/10.3390/jmse11091700openalex-snapshot
Online Estimation of Ship Dimensions by Combining Images with AIS Reports
inferred← citeshttps://doi.org/10.3390/jmse11101916openalex-snapshot
Ranking Ship Detection Methods Using SAR Images Based on Machine Learning and Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/jmse12071180openalex-snapshot
A YOLOv7-Based Method for Ship Detection in Videos of Drones
inferred← citeshttps://doi.org/10.3390/jmse13020366openalex-snapshot
Target Ship Recognition and Tracking with Data Fusion Based on Bi-YOLO and OC-SORT Algorithms for Enhancing Ship Navigation Assistance
inferred← citeshttps://doi.org/10.3390/jmse13071201openalex-snapshot
Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution
inferred← citeshttps://doi.org/10.3390/jmse13081475openalex-snapshot
A Novel iTransformer-Based Approach for AIS Data-Assisted CFAR Detection
inferred← citeshttps://doi.org/10.3390/jmse14030309openalex-snapshot
Image-Based Hybrid Neural Network Model for Naval Ship Wave Resistance Prediction
inferred← citeshttps://doi.org/10.3390/jmse9090932openalex-snapshot
A Novel Cargo Ship Detection and Directional Discrimination Method for Remote Sensing Image Based on Lightweight Network
inferred← citeshttps://doi.org/10.3390/math13010165openalex-snapshot
SwinInsSeg: An Improved SOLOv2 Model Using the Swin Transformer and a Multi-Kernel Attention Module for Ship Instance Segmentation
inferred← citeshttps://doi.org/10.3390/rs11101206openalex-snapshot
High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/rs11131529openalex-snapshot
Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descriptor
inferred← citeshttps://doi.org/10.3390/rs11182173openalex-snapshot
Ship Detection in Optical Satellite Images via Directional Bounding Boxes Based on Ship Center and Orientation Prediction
inferred← citeshttps://doi.org/10.3390/rs11232862openalex-snapshot
Ship Detection Using Deep Convolutional Neural Networks for PolSAR Images
inferred← citeshttps://doi.org/10.3390/rs12020246openalex-snapshot
A Coarse-to-Fine Network for Ship Detection in Optical Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs12020339openalex-snapshot
Arbitrary-Oriented Inshore Ship Detection based on Multi-Scale Feature Fusion and Contextual Pooling on Rotation Region Proposals
inferred← citeshttps://doi.org/10.3390/rs12071196openalex-snapshot
Priority Branches for Ship Detection in Optical Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs12091435openalex-snapshot
Object Detection Based on Global-Local Saliency Constraint in Aerial Images
inferred← citeshttps://doi.org/10.3390/rs12183053openalex-snapshot
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications
inferred← citeshttps://doi.org/10.3390/rs13030364openalex-snapshot
Classification of Very-High-Spatial-Resolution Aerial Images Based on Multiscale Features with Limited Semantic Information
inferred← citeshttps://doi.org/10.3390/rs13112155openalex-snapshot
Exploit Direction Information for Remote Ship Detection
inferred← citeshttps://doi.org/10.3390/rs13163168openalex-snapshot
Domain Adaptive Ship Detection in Optical Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/rs13163192openalex-snapshot
Ship Object Detection of Remote Sensing Image Based on Visual Attention
inferred← citeshttps://doi.org/10.3390/rs13193933openalex-snapshot
BeiDou-Based Passive Radar Vessel Target Detection: Method and Experiment via Long-Time Optimized Integration
inferred← citeshttps://doi.org/10.3390/rs13214255openalex-snapshot
Ship Detection in Sentinel 2 Multi-Spectral Images with Self-Supervised Learning
inferred← citeshttps://doi.org/10.3390/rs13234840openalex-snapshot
Ship Detection via Dilated Rate Search and Attention-Guided Feature Representation
inferred← citeshttps://doi.org/10.3390/rs14010141openalex-snapshot
RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification
inferred← citeshttps://doi.org/10.3390/rs14071544openalex-snapshot
Enhancing Front-Vehicle Detection in Large Vehicle Fleet Management
inferred← citeshttps://doi.org/10.3390/rs14092177openalex-snapshot
Oriented Ship Detector for Remote Sensing Imagery Based on Pairwise Branch Detection Head and SAR Feature Enhancement
inferred← citeshttps://doi.org/10.3390/rs14143441openalex-snapshot
A Novel Method for SAR Ship Detection Based on Eigensubspace Projection
inferred← citeshttps://doi.org/10.3390/rs14195048openalex-snapshot
A New Ship Detection Algorithm in Optical Remote Sensing Images Based on Improved R3Det
inferred← citeshttps://doi.org/10.3390/rs14215297openalex-snapshot
TISD: A Three Bands Thermal Infrared Dataset for All Day Ship Detection in Spaceborne Imagery
inferred← citeshttps://doi.org/10.3390/rs14215331openalex-snapshot
Identifying Critical Infrastructure in Imagery Data Using Explainable Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/rs14215476openalex-snapshot
GMR-Net: Road-Extraction Network Based on Fusion of Local and Global Information
inferred← citeshttps://doi.org/10.3390/rs14236053openalex-snapshot
A Lightweight Model for Ship Detection and Recognition in Complex-Scene SAR Images
inferred← citeshttps://doi.org/10.3390/rs14236092openalex-snapshot
Multi-Channel SAR Imaging on Cruising Ships with Sub-Orbital Spaceplane
inferred← citeshttps://doi.org/10.3390/rs14246245openalex-snapshot
Absorption Pruning of Deep Neural Network for Object Detection in Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs15081999openalex-snapshot
Weather Radar Super-Resolution Reconstruction Based on Residual Attention Back-Projection Network
inferred← citeshttps://doi.org/10.3390/rs15082008openalex-snapshot
The InflateSAR Campaign: Developing Refugee Vessel Detection Capabilities with Polarimetric SAR
inferred← citeshttps://doi.org/10.3390/rs16050733openalex-snapshot
A CFAR-Enhanced Ship Detector for SAR Images Based on YOLOv5s
inferred← citeshttps://doi.org/10.3390/rs16081444openalex-snapshot
Object-Based Semi-Supervised Spatial Attention Residual UNet for Urban High-Resolution Remote Sensing Image Classification
inferred← citeshttps://doi.org/10.3390/rs17233794openalex-snapshot
Ship Detection in SAR Images Using Sparse R-CNN with Wavelet Deformable Convolution and Attention Mechanism
inferred← citeshttps://doi.org/10.3390/rs18010149openalex-snapshot
A Ship Incremental Recognition Framework via Unknown Extraction and Joint Optimization Learning
inferred← citeshttps://doi.org/10.3390/rs18081142openalex-snapshot
CLEAR: A Cognitive LLM-Empowered Adaptive Restoration Framework for Robust Ship Detection in Complex Maritime Scenarios
inferred← citeshttps://doi.org/10.3390/rs18173000openalex-snapshot
Satellite Remote Sensing for Fishing Vessel Identification and Monitoring: A Comparative Analysis of Modalities and a Review of Datasets
inferred← citeshttps://doi.org/10.3390/s19132941openalex-snapshot
A Deep Learning Approach for Maximum Activity Links in D2D Communications
inferred← citeshttps://doi.org/10.3390/s20102931openalex-snapshot
Improving Neural Network Detection Accuracy of Electric Power Bushings in Infrared Images by Hough Transform
inferred← citeshttps://doi.org/10.3390/s20174938openalex-snapshot
Agricultural Greenhouses Detection in High-Resolution Satellite Images Based on Convolutional Neural Networks: Comparison of Faster R-CNN, YOLO v3 and SSD
inferred← citeshttps://doi.org/10.3390/s23052424openalex-snapshot
BATMAN: A Brain-like Approach for Tracking Maritime Activity and Nuance
inferred← citeshttps://doi.org/10.3390/s25144369openalex-snapshot
HSF-YOLO: A Multi-Scale and Gradient-Aware Network for Small Object Detection in Remote Sensing Images
inferred← citeshttps://doi.org/10.3390/s25247630openalex-snapshot
ES-YOLO: Multi-Scale Port Ship Detection Combined with Attention Mechanism in Complex Scenes
inferred← citeshttps://doi.org/10.3390/s26051626openalex-snapshot
FPGA-Based CNN Acceleration on Zynq-7020 for Embedded Ship Recognition in Unmanned Surface Vehicles
inferred← citeshttps://doi.org/10.3390/s26165295openalex-snapshot
MarShip-DET: A Frequency-Aware Multi-Scale Fusion Algorithm for Ship Detection in Maritime Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/sym17071116openalex-snapshot
YOLO-StarLS: A Ship Detection Algorithm Based on Wavelet Transform and Multi-Scale Feature Extraction for Complex Environments
inferred← citeshttps://doi.org/10.3390/w12082258openalex-snapshot
Global River Monitoring Using Semantic Fusion Networks
inferred← citeshttps://doi.org/10.3390/w14213400openalex-snapshot
Ocean Remote Sensing Techniques and Applications: A Review (Part I)
inferred← citeshttps://doi.org/10.34133/2021/9824843openalex-snapshot
Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution
inferred← citeshttps://doi.org/10.4018/979-8-3693-2913-9.ch001openalex-snapshot
Deep Strategy of Object Detection in Remote Sensing Images
inferred← citeshttps://doi.org/10.4018/979-8-3693-2913-9.ch002openalex-snapshot
Deep Learning Classification of Empty and Full Container Ships in Satellite Imagery
inferred← citeshttps://doi.org/10.4236/ojapps.2023.134045openalex-snapshot
SSE-Ship: A SAR Image Ship Detection Model with Expanded Detection Field of View and Enhanced Effective Feature Information
inferred← citeshttps://doi.org/10.48550/arxiv.2108.12811openalex-snapshot
Airplane Type Identification Based on Mask RCNN and Drone Images
inferred← citeshttps://doi.org/10.48550/arxiv.2108.12817openalex-snapshot
Airplane Detection Based on Mask Region Convolution Neural Network
inferred← citeshttps://doi.org/10.5194/essd-15-3547-2023openalex-snapshot
China Building Rooftop Area: the first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with super-resolution segmentation from Sentinel-2 imagery
inferred← citeshttps://doi.org/10.5194/isprs-annals-v-3-2021-303-2021openalex-snapshot
DEEP LEARNING FOR VESSEL DETECTION AND IDENTIFICATION FROM SPACEBORNE OPTICAL IMAGERY
inferred← citeshttps://doi.org/10.5772/intechopen.1005682openalex-snapshot
Free geospatial software and applications
inferred← citeshttps://doi.org/10.70675/889e2f05z3097z4bccz9415z7a6540dd1211openalex-snapshot
Neural network quantization methods for FPGA on-board processing of satellite images
inferred← citeshttps://doi.org/10.7753/ijsea1104.1001openalex-snapshot
An Improved YOLO v4 Algorithm-based Object Detection Method for Maritime Vessels
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