Multiple features learning for ship classification in optical imagery
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4952-y
Abstract: The sea surface vessel/ship classification is a challenging problem with enormous implications to the world’s global supply chain and militaries. The problem is similar to other well-studied problems in object recognition such as face recognition.… read more here.
Keywords: ship classification; classification; classification optical; multiple features ... See more keywords
A novel ship classification approach for high resolution SAR images based on the BDA-KELM classification model
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2017.1356487
Abstract: ABSTRACT Ship classification based on synthetic aperture radar (SAR) images is a crucial component in maritime surveillance. In this article, the feature selection and the classifier design, as two key essential factors for traditional ship… read more here.
Keywords: ship classification; classification; model; novel ship ... See more keywords
A New Benchmark and an Attribute-Guided Multilevel Feature Representation Network for Fine-Grained Ship Classification in Optical Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2981686
Abstract: Maritime activities are essential aspects of human society. Accurate classification of ships is vital for maritime surveillance and meaningful to numerous civil and military applications. However, most studies conducted are limited to the coarse-grained ship… read more here.
Keywords: feature representation; attribute; ship classification; fine grained ... See more keywords
One-Shot Learning-Based SAR Ship Classification Using New Hybrid Siamese Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3103432
Abstract: Synthetic aperture radar (SAR) ship classification research mainly focuses on large ships with distinctive features. Also, ship types are expanding nowadays. Traditional standard image classification techniques are not adequate for the effective classification of SAR… read more here.
Keywords: ship classification; sar ship; classification; shot learning ... See more keywords
Semisupervised Heterogeneous Domain Adaptation via Dynamic Joint Correlation Alignment Network for Ship Classification in SAR Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3175056
Abstract: Improving ship classification performance in synthetic aperture radar (SAR) imagery by transferring knowledge from the related domain is a newly emerging research topic. Existing methods follow supervised or unsupervised homogeneous transfer learning (TL) techniques with… read more here.
Keywords: network; adaptation; alignment; domain ... See more keywords
MetaBoost: A Novel Heterogeneous DCNNs Ensemble Network With Two-Stage Filtration for SAR Ship Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3180793
Abstract: Current synthetic aperture radar (SAR) ship classification research mainly focuses on modifying deep convolutional neural networks (DCNNs) and injecting manual features on DCNNs. Yet, the weak robustness of individual models in high-risk scenarios makes it… read more here.
Keywords: sar ship; heterogeneous dcnns; two stage; ship classification ... See more keywords
Using Low-Resolution SAR Scattering Features for Ship Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3183622
Abstract: This letter reports an experimental study aimed at establishing the questionable usefulness of scattering attributes for ship classification from moderate-resolution synthetic aperture radar (SAR) images. About 2700 example images representing four ship types have been… read more here.
Keywords: classification; scattering attributes; resolution; ship classification ... See more keywords
Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3009284
Abstract: Thanks to the medium-to-high resolution and wide coverage imaging ability, satellite synthetic aperture radar (SAR) systems are momentously developed for intelligent maritime surveillance, especially for ship classification in SAR images. Previous researchers mostly utilized the… read more here.
Keywords: sar; sar images; resolution sar; ship classification ... See more keywords
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3082759
Abstract: Ship classification in synthetic aperture radar (SAR) images is a fundamental and significant step in ocean surveillance. Recently, with the rise of deep learning (DL), modern abstract features from convolutional neural networks (CNNs) have hugely… read more here.
Keywords: sar ship; mechanism; hog; ship classification ... See more keywords
Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3111117
Abstract: Hierarchical multilabel classification (HMC) assigns multiple labels to each instance with the labels organized under hierarchical relations. In ship classification in remote sensing images, depending on the expert knowledge and image quality, the same type… read more here.
Keywords: remote sensing; classification; hierarchical multilabel; ship classification ... See more keywords
Few-Shot Fine-Grained Ship Classification With a Foreground-Aware Feature Map Reconstruction Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3172223
Abstract: Fine-grained ship classification plays an important part in many military and civilian applications. However, it is often costly to obtain images of ships, making it difficult to procure large numbers of such images. This difficulty… read more here.
Keywords: classification; grained ship; ship classification; fine grained ... See more keywords