Results 11 to 20 of about 263,998 (216)
Multi-Sensor-Based Hierarchical Detection and Tracking Method for Inland Waterway Ship Chimneys
Journal of Marine Science and Engineering, 2022 In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurately ...
Fumin Wu +4 more
doaj +1 more source
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
openaire +6 more sources
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
doaj +1 more source
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
doaj +1 more source
Ship Wake Detection in SAR Images via Sparse Regularization [PDF]
, 2019 In order to analyse synthetic aperture radar (SAR) images of the sea surface, ship wake detection is essential for extracting information on the wake generating vessels.
Achim, Alin +2 more
core +4 more sources
Interactive ship segmentation in SAR images (SAR görüntülerinde etkileşimli gemi bölütleme) [PDF]
, 2013 Ship detection from synthetic aperture radar (SAR) images is important for various automatic target recognition (ATR) tasks. Although the ships in offshore areas can be easily detected, the ones near the shores or close to each other are difficult to ...
Akyılmaz, Emre +4 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
An Automatic Ship Detection Method Based on Local Gray-Level Gathering Characteristics in SAR Imagery [PDF]
, 2012 This paper proposes an automatic ship detection method based on gray-level gathering characteristics of synthetic aperture radar (SAR) imagery. The method does not require any prior knowledge about ships and background observation.
CuiXia, Chen, XiaoLong, Wang
core +3 more sources
Target-Tailored Source-Transformation for Scene Graph Generation [PDF]
, 2020 Scene graph generation aims to provide a semantic and structural description of an image, denoting the objects (with nodes) and their relationships (with edges). The best performing works to date are based on exploiting the context surrounding objects or
Lan, Cuiling +4 more
core +3 more sources