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   Articles with "sar ship" as a keyword



FESAR: SAR ship detection model based on local spatial relationship capture and fused convolutional enhancement

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recommendations! Published in 2024 at "Machine Vision and Applications"

DOI: 10.1007/s00138-024-01516-4

Abstract: Synthetic aperture radar (SAR) is instrumental in ship monitoring owing to its all-weather capabilities and high resolution. In SAR images, ship targets frequently display blurred or mixed boundaries with the background, and instances of occlusion… read more here.

Keywords: ship detection; ship; model; sar ship ... See more keywords

Multi-Size Convolution and Learning Deep Network for SAR Ship Detection From Scratch

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3020363

Abstract: Synthetic aperture radar (SAR) ship detection is a popular branch of SAR interpretation. A growing number of scholars are devoting themselves to applying convolutional neural network (CNN) to SAR ship detection. Currently, most CNN-based SAR… read more here.

Keywords: multi size; ship detection; sar ship; detection ... See more keywords

Exploring Data and Models in SAR Ship Image Captioning

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3202193

Abstract: In recent years, considerable progress has been made in ship detection in synthetic aperture radar (SAR) images; however, no research has been conducted on translating SAR ship images into flexible and accurate sentences. To explore… read more here.

Keywords: sar ship; ship images; ship image; image captioning ... See more keywords

AMANet: Advancing SAR Ship Detection With Adaptive Multi-Hierarchical Attention Network

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3436591

Abstract: Synthetic Aperture Radar (SAR) ship detection is crucial for maritime surveillance, environmental monitoring, and national security. Recently, methods based on deep learning have been successfully applied to ship detection for SAR images. Despite the development… read more here.

Keywords: detection; adaptive multi; ship detection; sar ship ... See more keywords

GS-YOLO: A Lightweight SAR Ship Detection Model Based on Enhanced GhostNetV2 and SE Attention Mechanism

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3438797

Abstract: Synthetic Aperture Radar (SAR) imaging technology is crucial for maritime vessel monitoring. However, the inherent characteristics of SAR images, such as limited feature resolution and speckle noise, pose a series of challenges for ship detection.… read more here.

Keywords: detection; ship detection; model; sar ship ... See more keywords

Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3216623

Abstract: As artificial intelligence continues to advance, deep learning has greatly contributed to the advancement of ship recognition using synthetic aperture radar (SAR) images. Deep learning-based SAR ship recognition performance is largely dependent on the sample… read more here.

Keywords: recognition; generalization performance; sar ship; ship recognition ... See more keywords

A Survey on Deep-Learning-Based Real-Time SAR Ship Detection

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recommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3244616

Abstract: Recently, deep learning has greatly promoted the development of synthetic aperture radar (SAR) ship detection. But the detectors are usually heavy and computation intensive, which hinder the usage on the edge. In order to solve… read more here.

Keywords: sar ship; detection; real time; ship detection ... See more keywords

Multilevel Pyramid Feature Extraction and Task Decoupling Network for SAR Ship Detection

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3347454

Abstract: Synthetic aperture radar (SAR) target detection plays a crucial role in both military and civilian fields, attracting significant attention from researchers globally. CenterNet, a single-stage target detection method, is known for its high detection speed… read more here.

Keywords: detection; task; ship detection; multilevel pyramid ... See more keywords

Ellipse Polar Encoding for Oriented SAR Ship Detection

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3352098

Abstract: Ship detection in synthetic aperture radar (SAR) images using deep neural networks often relies on horizontal bounding box, which fail to capture ship orientation and aspect ratio accurately. To address this limitation, oriented ship detection… read more here.

Keywords: detection; ship detection; oriented sar; sar ship ... See more keywords

BFEA: A SAR Ship Detection Model Based on Attention Mechanism and Multiscale Feature Fusion

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3408339

Abstract: With the advancements in deep learning and synthetic aperture radar (SAR) technology, an increasing number of individuals are utilizing deep-learning techniques to detect ships in SAR images. However, the efficiency of SAR ship detection is… read more here.

Keywords: detection; feature; ship detection; sar ship ... See more keywords

GMDR-Net: A Lightweight OBB-Based SAR Ship Detection Model Based on Gaussian Mixture Data Augmentation and Distance Rotation IOU Loss

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3418998

Abstract: Aiming at the problems of oriented-bounding-box-based (OBB-based) synthetic aperture radar (SAR) ship detection, which include the large model volume, the imbalance of positive and negative samples, and imprecise ship detection and positioning due to dense… read more here.

Keywords: distance; ship detection; model; sar ship ... See more keywords