Yu et al., 2024 - Google Patents
SAR ship detection based on improved YOLOv5 and BiFPNYu et al., 2024
View HTML- Document ID
- 10489131304877509331
- Author
- Yu C
- Shin Y
- Publication year
- Publication venue
- ICT Express
External Links
Snippet
Synthetic aperture radar (SAR) is an advanced microwave sensor widely used in ocean monitoring, whose operation is not affected by light and weather. Ship targets in SAR images contain characteristically unclear contour information, a complex background, and …
- 238000001514 detection method 0 title abstract description 85
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yu et al. | SAR ship detection based on improved YOLOv5 and BiFPN | |
Tian et al. | A dual neural network for object detection in UAV images | |
Wang et al. | YOLOv3-MT: A YOLOv3 using multi-target tracking for vehicle visual detection | |
Wang et al. | SSS-YOLO: Towards more accurate detection for small ships in SAR image | |
Jiang et al. | A self-attention network for smoke detection | |
Steno et al. | A novel enhanced region proposal network and modified loss function: threat object detection in secure screening using deep learning | |
Kong et al. | Lightweight algorithm for multi-scale ship detection based on high-resolution SAR images | |
Zhang et al. | PSNet: Perspective-sensitive convolutional network for object detection | |
Qiu et al. | Bridge detection method for HSRRSIs based on YOLOv5 with a decoupled head | |
Cao et al. | QuasiVSD: efficient dual-frame smoke detection | |
Dong et al. | High-precision real-time UAV target recognition based on improved YOLOv4 | |
Li et al. | SAR image near-shore ship target detection method in complex background | |
Wang et al. | FIAD net: A Fast SAR ship detection network based on feature integration attention and self-supervised learning | |
Sun et al. | An efficient lightweight CNN model for real-time fire smoke detection | |
Yu et al. | An efficient YOLO for ship detection in SAR images via channel shuffled reparameterized convolution blocks and dynamic head | |
Xue et al. | Multiscale object detection method for track construction safety based on improved yolov5 | |
Liang et al. | Improved YOLOv5 infrared tank target detection method under ground background | |
Wu et al. | Research on asphalt pavement disease detection based on improved YOLOv5s | |
Li et al. | [Retracted] Target Adaptive Tracking Based on GOTURN Algorithm with Convolutional Neural Network and Data Fusion | |
Li et al. | Remote sensing image location based on improved Yolov7 target detection | |
Zhang et al. | Gaussian Function Fusing Fully Convolutional Network and Region Proposal‐Based Network for Ship Target Detection in SAR Images | |
Zhang et al. | Grid-guided localization network based on the spatial attention mechanism for synthetic aperture radar ship detection | |
Ma et al. | Generative Adversarial Differential Analysis for Infrared Small Target Detection | |
Wang et al. | Forest fire detection utilizing ghost Swin transformer with attention and auxiliary geometric loss | |
Truong et al. | Rotated Mask Region-Based Convolutional Neural Network Detection for Parking Space Management System |