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A modified faster R-CNN based on CFAR algorithm for SAR ship detection

https://doi.org/10.1109/rsip.2017.7958815
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You Only Look Once: Unified, Real-Time Object Detection
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Validating a Notch Filter for Detection of Targets at Sea With ALOS-PALSAR Data: Tokyo Bay
inferredcites →https://doi.org/10.1109/jstars.2014.2319195openalex-snapshot
AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance
inferredcites →https://doi.org/10.1109/jstars.2014.2321708openalex-snapshot
Spaceborne Radar Imaging of Maritime Moving Targets With the Cosmo-SkyMed SAR System
inferredcites →https://doi.org/10.1109/lgrs.2016.2618604openalex-snapshot
A Modified CFAR Algorithm Based on Object Proposals for Ship Target Detection in SAR Images
inferredcites →https://doi.org/10.1109/mc.2014.42openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1109/radar.2013.6652006openalex-snapshot
A ship detection system for RADARSAT-2 dual-pol multi-look imagery implemented in the ADSS
inferredcites →https://doi.org/10.1109/tgrs.2010.2071879openalex-snapshot
Ship Surveillance With TerraSAR-X
inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Detection of Fishing Boats in SAR Image using Linear Moments and Machine Learning
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A Rotational Libra R-CNN Method for Ship Detection
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3005151openalex-snapshot
An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3015389openalex-snapshot
Collaborative Attention-Based Heterogeneous Gated Fusion Network for Land Cover Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3040273openalex-snapshot
A Cascade Rotated Anchor-Aided Detector for Ship Detection in Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3095386openalex-snapshot
Oriented Gaussian Function-Based Box Boundary-Aware Vectors for Oriented Ship Detection in Multiresolution SAR Imagery
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3128060openalex-snapshot
A Robust One-Stage Detector for Multiscale Ship Detection With Complex Background in Massive SAR Images
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3188151openalex-snapshot
GPU-Oriented Designs of Constant False Alarm Rate Detectors for Fast Target Detection in Radar Images
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3188677openalex-snapshot
LFG-Net: Low-Level Feature Guided Network for Precise Ship Instance Segmentation in SAR Images
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3237632openalex-snapshot
Saliency-Based SAR Target Detection via Convolutional Sparse Feature Enhancement and Bayesian Inference
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3249349openalex-snapshot
Frequency-Adaptive Learning for SAR Ship Detection in Clutter Scenes
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3304847openalex-snapshot
Multitask Learning for SAR Ship Detection With Gaussian-Mask Joint Segmentation
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3339624openalex-snapshot
An Effective and Lightweight Hybrid Network for Object Detection in Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3394405openalex-snapshot
Sidelobe Suppression for High-Resolution SAR Imagery Based on Spectral Reshaping and Feature Statistical Difference
inferred← citeshttps://doi.org/10.1109/ur57808.2023.10202163openalex-snapshot
Multi-Target Tracking Considering the Uncertainty of Deep Learning-based Object Detection of Marine Radar Images
inferred← citeshttps://doi.org/10.1117/1.jei.29.3.033015openalex-snapshot
Toward robust multitype and orientation detection of vessels in maritime surveillance
inferred← citeshttps://doi.org/10.1117/12.2573287openalex-snapshot
CNN-based object detection and segmentation for maritime domain awareness
inferred← citeshttps://doi.org/10.1117/12.2625204openalex-snapshot
Research and application verification of intelligent interpretation system for multi-source remote sensing data
inferred← citeshttps://doi.org/10.1117/12.3056612openalex-snapshot
CNN-based detections normalization for robust situation awareness in multichannel optoelectronic system
inferred← citeshttps://doi.org/10.1145/3351180.3351181openalex-snapshot
Small Target Detection Based on Enhanced RFCN Driven By Smaller Data Set
inferred← citeshttps://doi.org/10.1145/3532213.3532328openalex-snapshot
Self-supervised Representation Learning for the Object Detection of Marine Radar
inferred← citeshttps://doi.org/10.1155/2022/3063965openalex-snapshot
Gaussian Function Fusing Fully Convolutional Network and Region Proposal-Based Network for Ship Target Detection in SAR Images
inferred← citeshttps://doi.org/10.13031/trans.13628openalex-snapshot
Potato Bud Detection with Improved Faster R-CNN
inferred← citeshttps://doi.org/10.14209/sbrt.2018.340openalex-snapshot
Vessel Classification through Convolutional Neural Networks using Passive Sonar Spectrogram Images
inferred← citeshttps://doi.org/10.1515/geo-2020-0180openalex-snapshot
Explore the application of high-resolution nighttime light remote sensing images in nighttime marine ship detection: A case study of LJ1-01 data
inferred← citeshttps://doi.org/10.15826/urej.2024.8.1.003openalex-snapshot
State of the Art of Radar Images Recognition of Surface Ships by Means of Space Monitoring
inferred← citeshttps://doi.org/10.20944/preprints202108.0509.v1openalex-snapshot
SAR Ship Detection Based on Improved Libra RetinaNet
inferred← citeshttps://doi.org/10.20965/jaciii.2024.p0216openalex-snapshot
An Improved Multi Target Ship Recognition Model Based on Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.2322/tastj.18.391openalex-snapshot
Identification and Classification of Ships SAR Data Using Machine Learning
inferred← citeshttps://doi.org/10.23919/chicc.2018.8482863openalex-snapshot
Ship detection in SAR Image using YOLOv2
inferred← citeshttps://doi.org/10.23919/icac50006.2021.9594203openalex-snapshot
Fusion of Camera-based Vessel Detection and AIS for Maritime Surveillance
inferred← citeshttps://doi.org/10.23919/oceans40490.2019.8962707openalex-snapshot
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery
inferred← citeshttps://doi.org/10.2478/ijanmc-2022-0035openalex-snapshot
Fine-grained Recognition of Ships Under Complex Sea Conditions
inferred← citeshttps://doi.org/10.2514/6.2025-2113openalex-snapshot
Deep Learning Based Approach for Underwater Acoustic Target Detection
inferred← citeshttps://doi.org/10.3233/jifs-190747openalex-snapshot
A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds
inferred← citeshttps://doi.org/10.3389/fmars.2022.845419openalex-snapshot
SAR Satellite Imagery Reveals the Impact of the Covid-19 Crisis on Ship Frequentation in the French Mediterranean Waters
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/10.3390/app13042520openalex-snapshot
Statistical Adaptation Loss Improved SMALL Sample Ship Detection Method Based on an Attention Mechanism and Data Enhancement
inferred← citeshttps://doi.org/10.3390/app14198644openalex-snapshot
A Methodology Based on Deep Learning for Contact Detection in Radar Images
inferred← citeshttps://doi.org/10.3390/app15042239openalex-snapshot
MDD-YOLOv8: A Multi-Scale Object Detection Model Based on YOLOv8 for Synthetic Aperture Radar Images
inferred← citeshttps://doi.org/10.3390/electronics11010156openalex-snapshot
Artificial Neural Networks and Deep Learning Techniques Applied to Radar Target Detection: A Review
inferred← citeshttps://doi.org/10.3390/electronics12173668openalex-snapshot
Generative Adversarial Network Models for Augmenting Digit and Character Datasets Embedded in Standard Markings on Ship Bodies
inferred← citeshttps://doi.org/10.3390/electronics13010167openalex-snapshot
SAR Image Ship Target Detection Based on Receptive Field Enhancement Module and Cross-Layer Feature Fusion
inferred← citeshttps://doi.org/10.3390/electronics14163334openalex-snapshot
AI-Based Multi-Target Localization with Multi-Tx and Single-Rx Frequency Diverse Array Radar
inferred← citeshttps://doi.org/10.3390/jmse11051068openalex-snapshot
Knowledge-Transfer-Based Bidirectional Vessel Monitoring System for Remote and Nearshore Images
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/jmse11112081openalex-snapshot
Enhanced Detection Method for Small and Occluded Targets in Large-Scene Synthetic Aperture Radar Images
inferred← citeshttps://doi.org/10.3390/jmse8020112openalex-snapshot
Detection of Small Ship Objects Using Anchor Boxes Cluster and Feature Pyramid Network Model for SAR Imagery
inferred← citeshttps://doi.org/10.3390/rs10010132openalex-snapshot
Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks
inferred← citeshttps://doi.org/10.3390/rs10122043openalex-snapshot
Ship Classification and Detection Based on CNN Using GF-3 SAR Images
inferred← citeshttps://doi.org/10.3390/rs11010047openalex-snapshot
Automatic Ship Detection in Optical Remote Sensing Images Based on Anomaly Detection and SPP-PCANet
inferred← citeshttps://doi.org/10.3390/rs11050526openalex-snapshot
Multi-Scale Proposal Generation for Ship Detection in SAR Images
inferred← citeshttps://doi.org/10.3390/rs11050531openalex-snapshot
Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery
inferred← citeshttps://doi.org/10.3390/rs11060631openalex-snapshot
R-CNN-Based Ship Detection from High Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs11070765openalex-snapshot
A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
inferred← citeshttps://doi.org/10.3390/rs11182142openalex-snapshot
Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images
inferred← citeshttps://doi.org/10.3390/rs11232862openalex-snapshot
Ship Detection Using Deep Convolutional Neural Networks for PolSAR Images
inferred← citeshttps://doi.org/10.3390/rs11242997openalex-snapshot
Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning
inferred← citeshttps://doi.org/10.3390/rs12010167openalex-snapshot
Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet
inferred← citeshttps://doi.org/10.3390/rs12162619openalex-snapshot
Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images
inferred← citeshttps://doi.org/10.3390/rs12203302openalex-snapshot
Refocusing High-Resolution SAR Images of Complex Moving Vessels Using Co-Evolutionary Particle Swarm Optimization
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