Results 11 to 20 of about 2,091 (213)
Ship detection in optical remote sensing images has potential applications in national maritime security, fishing, and defense. Many detectors, including computer vision and geoscience-based methods, have been proposed in the past decade.
Zhengning Zhang +4 more
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Ship detection plays an important role in automatic remote sensing image interpretation. The scale difference, large aspect ratio of ship, complex remote sensing image background and ship dense parking scene make the detection task difficult.
Kun Fu +6 more
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YOLF-ShipPnet: Improved RetinaNet with Pyramid Vision Transformer
In the field of ship detection, the intricate nature of ship images arises from a multitude of factors, including variations in ship orientation, color contrasts, and diverse shapes.
Zhiruo Qiu, Shiyang Rong, Likun Ye
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Detecting inshore ships in satellite images
Ship detection in satellite images is used for monitoring illegal fishing and violation of coastal waters or general maritime management. SAR images has been extensively used in this manner. Recently, researchers have started using optical satellite images for ship detection. These studies can be divided into two categories as inshore and offshore ship
Abdullah H. Ozcan, Cem Ünsalan
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PPA-Net: Pyramid Pooling Attention Network for Multi-Scale Ship Detection in SAR Images
In light of recent advances in deep learning and Synthetic Aperture Radar (SAR) technology, there has been a growing adoption of ship detection models that are based on deep learning methodologies.
Gang Tang +6 more
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A Prototype On-Board Ship-Detection System [PDF]
The DLR is currently exploring the feasibility of an on-board ship detection system, prospectively installed on Earth observation satellites. The applications are manifold: illegal activities like piracy, unauthorized fishery, refugee shipment, illegal cleaning and ocean dumping are daily occurrences.
Schwenk, Kurt +2 more
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A Method for Ship Detection in SAR Images Based on Anomaly Detection and Two-layer Censoring Mechanism [PDF]
Aiming at the problem of large censoring error of the existing intelligent detection algorithm for ship targets in SAR image,a novel method for ship detection based on Anomaly Detection(AD) and two-layer censoring algorithm is presented.The theory of ...
ZHAI Liang,LI Yu,SU Yi
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Fine-Grained Ship Classification by Combining CNN and Swin Transformer
The mainstream algorithms used for ship classification and detection can be improved based on convolutional neural networks (CNNs). By analyzing the characteristics of ship images, we found that the difficulty in ship image classification lies in ...
Liang Huang +3 more
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Ship Detection and Segmentation Using Image Correlation [PDF]
There have been intensive research interests in ship detection and segmentation due to high demands on a wide range of civil applications in the last two decades. However, existing approaches, which are mainly based on statistical properties of images, fail to detect smaller ships and boats.
Alexander Kadyrov +2 more
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Ship detection technology has achieved significant progress recently. However, for practical applications, lightweight ship detection still remains a very challenging problem since small ships have small relative scales in wide images and are easily ...
Yang Tian +4 more
doaj +1 more source

