Results 11 to 20 of about 25,422 (265)
Data-driven fraud detection in international shipping [PDF]
Expert Systems with Applications, 2018 Document fraud constitutes a growing problem in international shipping. Shipping documentation may be deliberately manipulated to avoid shipping restrictions or customs duties. Well-known examples of such fraud are miscoding and smuggling. These are cases in which the documentation of a shipment does not correctly or entirely describe the goods in ...
Triepels, Ron +2 more
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Feature Enhancement Pyramid and Shallow Feature Reconstruction Network for SAR Ship Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Recently, convolutional neural network based methods have been studied for ship detection in optical remote sensing images. However, it is challenging to apply them to microwave synthetic aperture radar (SAR) images.
Lin Bai +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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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Remote Sensing, 2018 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
International Journal of Computational Intelligence Systems, 2023 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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PPA-Net: Pyramid Pooling Attention Network for Multi-Scale Ship Detection in SAR Images
Remote Sensing, 2023 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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Fine-Grained Ship Classification by Combining CNN and Swin Transformer
Remote Sensing, 2022 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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A Method for Ship Detection in SAR Images Based on Anomaly Detection and Two-layer Censoring Mechanism [PDF]
Jisuanji gongcheng, 2017 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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An Adaptive Ship Detection Scheme for Spaceborne SAR Imagery
Sensors, 2016 With the rapid development of spaceborne synthetic aperture radar (SAR) and the increasing need of ship detection, research on adaptive ship detection in spaceborne SAR imagery is of great importance.
Xiangguang Leng +4 more
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Remote Sensing, 2023 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
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