Papers Vessel Detection
“Vessel Detection” 태그가 달린 논문 38편 · 필터 해제
Hull First, Wake Second: Wake-Reliance Suppression for Robust Maritime Vessel Detection
Maritime vessel detectors often face scenes where hulls are small, low-contrast, or blurred, while wakes are longer and easier to detect. This creates a wake-reliance problem: detectors may miss slow or stationary vessel…
Vessel DetectionMMUSV-Sim: A Perception-Oriented Simulation and Data-Generation Platform for Multi-USV Cooperative Perception
Cooperative perception among multiple unmanned surface vehicles (USVs) combines complementary observations to extend maritime target sensing beyond the view range and field of a single platform. Developing such systems a…
Vessel DetectionA Distributed Acoustic Sensing Dataset for Vessel Detection and Localization in Submarine Cable Protection
Recent incidents of accidental damage and suspected sabotage to submarine telecommunication and power cables, particularly in the Baltic Sea, have underscored their vulnerability and the need for continuous monitoring so…
Vessel DetectionSea-Scan: High-Accuracy, ML-based Dark Vessel Detection and Localisation via Weakly Supervised DAS Monitoring
We present an ML-based vessel detection and localization system, trained with weak supervision from imperfect AIS labels, that achieves a 97.8% detection rate at 1.98% false-trigger rate, successfully identifies dark-ves…
Vessel DetectionDarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection
Dark vessel detection requires fusing what vessels report through AIS with what satellites observe through radar and optical sensors. DarkVesselNet is a multi-modal remote sensing stack that combines Sentinel-1 SAR, Sent…
Vessel DetectionImpact of Atmospheric Turbulence and Pointing Error on Earth Observation
Earth Observation (EO) imagery is often degraded by atmospheric turbulence and pointing jitter; yet, these effects are rarely considered in datasets used to train AI-based detection models. Based on prior work, this pape…
Vessel DetectionEffect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets
Most deep learning pipelines for retinal vessel segmentation resize fundus images to satisfy GPU memory constraints and enable uniform batch processing. However, the impact of this resizing on thin vessel detection remai…
Retinal Vessel SegmentationVessel DetectionAerial Maritime Vessel Detection and Identification
Autonomous maritime surveillance and target vessel identification in environments where Global Navigation Satellite Systems (GNSS) are not available is critical for a number of applications such as search and rescue and …
Object DetectionVessel DetectionEfficient SAR Vessel Detection for FPGA-Based On-Satellite Sensing
Rapid analysis of satellite imagery within minutes-to-hours of acquisition is increasingly vital for many remote sensing applications, and is an essential component for developing next-generation autonomous and distribut…
Vessel DetectionNear-Shore Mapping for Detection and Tracking of Vessels
For an autonomous surface vessel (ASV) to dock, it must track other vessels close to the docking area. Kayaks present a particular challenge due to their proximity to the dock and relatively small size. Maritime target t…
Vessel DetectionHierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation
Accurate segmentation of the aorta and its associated arch branches is crucial for diagnosing aortic diseases. While deep learning techniques have significantly improved aorta segmentation, they remain challenging due to…
SegmentationVessel DetectionContinuous and complete liver vessel segmentation with graph-attention guided diffusion
Improving connectivity and completeness are the most challenging aspects of liver vessel segmentation, especially for small vessels. These challenges require both learning the continuous vessel geometry and focusing on s…
Graph AttentionSegmentationVessel DetectionCherenkov Imaged Bio-morphological Features Verify Patient Positioning with Deformable Tissue Translocation in Breast Radiotherapy
Accurate patient positioning is critical for precise radiotherapy dose delivery, as positioning errors can significantly affect treatment outcomes. This study introduces a novel method for tracking loco-regional tissue d…
Vessel DetectionFAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
Illegal, unreported, and unregulated (IUU) fishing activities seriously affect various aspects of human life. However, traditional methods for detecting and monitoring IUU fishing activities at sea have limitations. Alth…
Action DetectionActivity DetectionAvgFAD+3Evaluation and Optimization of Positional Accuracy for Maritime Positioning Systems
Navigation and trajectorial estimation of maritime vessels are contingent upon the context of positional accuracy. Even the smallest deviations in the estimation of a given vessel may result in detrimental consequences i…
Vessel DetectionInsight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection
Ship detection from satellite imagery using Deep Learning (DL) is an indispensable solution for maritime surveillance. However, applying DL models trained on one dataset to others having differences in spatial resolution…
Vessel DetectionImage and AIS Data Fusion Technique for Maritime Computer Vision Applications
Deep learning object detection methods, like YOLOv5, are effective in identifying maritime vessels but often lack detailed information important for practical applications. In this paper, we addressed this problem by dev…
Managementobject-detectionObject DetectionPose Estimation+2VDDT: Improving Vessel Detection with Deformable Transfomer
Vessel detection has received wide attention in object detection, and the recently proposed DETR has successfully achieved true end-to-end object detection and has shown good performance. However, DETR is not sensitive t…
DecoderObjectobject-detectionObject Detection+1Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
The automatic identification system (AIS) and video cameras have been widely exploited for vessel traffic surveillance in inland waterways. The AIS data could provide the vessel identity and dynamic information on vessel…
PositionVessel DetectionOptimizing ship detection efficiency in SAR images
The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused exclusively on performance improvements, d…
object-detectionObject DetectionVessel Detection