BEML-sonar: a bio-inspired echolocation and machine learning-enhanced SONAR for underwater object detection and navigation. [PDF]
Reddy CKK +5 more
europepmc +1 more source
Seafood Object Detection Method Based on Improved YOLOv5s. [PDF]
Zhu N, Liu Z, Wang Z, Xie Z.
europepmc +1 more source
AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. [PDF]
He R +5 more
europepmc +1 more source
SeaLSOD-YOLO: A Lightweight Framework for Maritime Small Object Detection Using YOLOv11. [PDF]
Ruan J, He J, Tong Y.
europepmc +1 more source
Research on Radio Altimetry in Urban Environments Based on Electromagnetic Simulation Echo Modeling Technology. [PDF]
Xiong J, Xie X, Guan X, Xu Y, Li C.
europepmc +1 more source
Context-Guided SAR Ship Detection with Prototype-Based Model Pretraining and Check-Balance-Based Decision Fusion. [PDF]
Zhou H, Geng Z, Sun M, Wu L, Yan H.
europepmc +1 more source
Related searches:
Sea Clutter Suppression for Radar PPI Images Based on SCS-GAN
IEEE Geoscience and Remote Sensing Letters, 2021The problem of strong sea clutter, e.g., sea spikes, may bring in low signal-to-clutter ratio (SCR) and cause great interference to radar marine target detection. However, the sea clutter suppression ability of current algorithms is limited with poor generalization under complex marine environment.
Xiaolong Chen, Xiaoqian Mu, Ningbo Liu
exaly +3 more sources
A Machine Learning Approach to Radar Sea Clutter Suppression
2017 IEEE Radar Conference (RadarConf), 2017The radar detection of small maritime targets requires special attention to the suppression of sea clutter returns that, in certain circumstances, may be difficult to discriminate from target returns. In this paper, the novel use of machine learning techniques is explored to address this familiar problem.
J Bürger
exaly +2 more sources
A Novel Sea Clutter Suppression Method Based on Neural Network
2021 IEEE 4th International Conference on Electronic Information and Communication Technology (ICEICT), 2021In order to suppress sea clutter effectively, it is necessary to estimate the center and width of the power spectrum of sea clutter accurately. Since the complex property of sea clutter, traditional methods cannot estimate the accurate parameters of power spectrum of sea clutter, which leads to the decrease of the clutter suppression performance.
Tao Mingliang, Yifei Fan, Jia Su
exaly +2 more sources

