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
DSNet: dual-stream network for fine-grained ship classification in optical remote sensing images
Sign Up to like & getrecommendations! Published in 2024 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2024.2377211
Abstract: ABSTRACT The fine-grained ship classification (FGSC) task in remote sensing aims to distinguish subordinate ship categories. Due to the high similarity among different subcategories and the significant variations in pose, scale, rotation, and color within… read more here.
Keywords: fine grained; remote sensing; grained ship; ship classification ... See more keywords
Multigranularity Feature Enhancement for Robust Remote Sensing Ship Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3566041
Abstract: Ship classification plays a critical role in civilian applications such as environmental monitoring and maritime navigation. While existing methods achieve high accuracy with high-resolution images captured under ideal conditions, their performance deteriorates significantly in uncontrolled… read more here.
Keywords: classification; multigranularity feature; feature enhancement; ship classification ... 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
A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3399310
Abstract: Fine-grained ocean ship classification plays a crucial role in maritime military surveillance, traffic management, and antismuggling operations. However, the complex backgrounds of remote sensing images (RSIs), as well as significant interclass similarities and intraclass differences,… read more here.
Keywords: grained ocean; fine grained; ship classification; network ... 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
PFDN: A Polarimetric Feature-Guided Deep Network for Dual-Polarized SAR Ship Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3367759
Abstract: As one important application of synthetic aperture radar (SAR), ship classification attracts researchers’ attention in recent years. To improve the accuracy of ship classification in dual-polarized SAR images, we here put forward a novel polarimetric… read more here.
Keywords: classification; polarimetric feature; sar; dual polarized ... See more keywords