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
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
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
doaj +1 more source
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
Implications of the dark axion portal for SHiP and FASER and the advantages of monophoton signals [PDF]
, 2019 We investigate the implications of the dark axion portal interaction, the axion-photon-dark photon vertex, for the future experiments SHiP and FASER. We also study the phenomenology of the combined vector portal (kinetic mixing of the photon and dark ...
deNiverville, Patrick, Lee, Hye-Sung
core +2 more sources
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
doaj +1 more source
A Direct and Fast Methodology for Ship Recognition in Sentinel-2 Multispectral Imagery [PDF]
, 2016 The European Space Agency satellite Sentinel-2 provides multispectral images with pixel sizes down to 10 m. This high resolution allows for ship detection and recognition by determining a number of important ship parameters.
Heiselberg, Henning
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
The detectors of the SHiP experiment at CERN [PDF]
, 2018 SHiP is a proposed general purpose fixed target facility at the CERN SPS accelerator. The main focus will be the physics of the Hidden Sector, \textit{i.e.} search for heavy neutrinos, dark photons and other long lived very weakly interacting particles ...
Graverini, Elena
core +1 more source