4.7 Article

Ship Classification in Synthetic Aperture Radar Images Based on Multiple Classifiers Ensemble Learning and Automatic Identification System Data Transfer Learning

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geochemistry & Geophysics

Oil Spill Detection Based on Deep Convolutional Neural Networks Using Polarimetric Scattering Information From Sentinel-1 SAR Images

Xiaoshuang Ma et al.

Summary: This article proposes an intelligent oil spill detection architecture based on a deep convolutional neural network that utilizes amplitude information, phase information, and polarimetric decomposition parameters to improve the accuracy and detail capturing capability of oil spill detection.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

Article Environmental Sciences

An Improved Sea Ice Classification Algorithm with Gaofen-3 Dual-Polarization SAR Data Based on Deep Convolutional Neural Networks

Jiande Zhang et al.

Summary: This study uses SAR data and deep learning models to classify winter Arctic sea ice. By utilizing dual-polarization data, the accuracy of sea ice classification is improved, and the proposed Multiscale MobileNet (MSMN) model achieves over 95% accuracy in testing.

REMOTE SENSING (2022)

Article Remote Sensing

Fusion and classification of multi-temporal SAR and optical imagery using convolutional neural network

Achala Shakya et al.

Summary: This study explores the potential of fused multi-temporal Sentinel 1 and Sentinel 2 images for Land Use/Land Cover classification using 2D CNN-based DL and SVM classifiers. Results indicate better performance by the 2D CNN-based DL classifier, and better interpretability is achieved through appropriate image fusion strategies.

INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION (2022)

Article Computer Science, Artificial Intelligence

A polarization fusion network with geometric feature emb e dding for SAR ship classification

Tianwen Zhang et al.

Summary: The study proposes a PFGFE-Net for ship classification, which combines polarization fusion and geometric feature embedding techniques, achieving excellent performance.

PATTERN RECOGNITION (2022)

Article Geochemistry & Geophysics

Radar HRRP Target Recognition Method Based on Multi-Input Convolutional Gated Recurrent Unit With Cascaded Feature Fusion

Zhiqiang Zeng et al.

Summary: In this paper, we propose an end-to-end multi-input convolutional gated recurrent unit neural network, called MIConvGRU, for radar automatic target recognition (RATR) by exploiting both the multi-domain and temporal information. The experimental results demonstrate its effectiveness in learning the multi-domain temporal dependence features and improving the target recognition performance in HRRP sequences.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

Article Environmental Sciences

Classification-Aided SAR and AIS Data Fusion for Space-Based Maritime Surveillance

Maximilian Rodger et al.

Summary: The paper proposes a classification-aided data association technique using transfer learning to classify ship types in SAR imagery, aiming to improve accurate data association between SAR ship detections and AIS observations in dense shipping environments.

REMOTE SENSING (2021)

Article Geochemistry & Geophysics

Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric Learning

Jinglu He et al.

Summary: This article proposes a method for more effective ship classification in MR SAR images by extending dense convolutional networks and utilizing a multitask learning framework, joint minimizing softmax log-loss and triplet loss for better deep feature extraction. Experiments on a MR SAR ship data set show superior performance compared to CNN models for 3- and 5-class recognition tasks.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Article Computer Science, Information Systems

Reciprocal translation between SAR and optical remote sensing images with cascaded-residual adversarial networks

Shilei Fu et al.

Summary: This paper develops a machine intelligence that translates SAR images to optical versions for assisted SAR image interpretation, utilizing an adversarial network scheme with cascaded residual connections and hybrid L1-GAN loss. The network performs well in various scenarios and could potentially be used for assisted SAR interpretation.

SCIENCE CHINA-INFORMATION SCIENCES (2021)

Article Engineering, Marine

AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain

Azzeddine Bakdi et al.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2020)

Article Computer Science, Information Systems

FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition

Xiyue Hou et al.

SCIENCE CHINA-INFORMATION SCIENCES (2020)

Article Economics

Analysis of global marine oil trade based on automatic identification system (AIS) data

Zhaojin Yan et al.

JOURNAL OF TRANSPORT GEOGRAPHY (2020)

Article Engineering, Electrical & Electronic

Distribution Shift Metric Learning for Fine-Grained Ship Classification in SAR Images

Yongjie Xu et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Segmentation of Marine SAR Images by Sublook Analysis and Application to Sea Traffic Monitoring

Alfredo Renga et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Article Environmental Sciences

Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data

Ramona Pelich et al.

REMOTE SENSING (2019)

Article Remote Sensing

A novel group squeeze excitation sparsely connected convolutional networks for SAR target classification

Guoquan Huang et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)

Article Environmental Sciences

Ship Classification in SAR Images Using a New Hybrid CNN-MLP Classifier

Foroogh Sharifzadeh et al.

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2019)

Review Geosciences, Multidisciplinary

Satellite SAR Data-based Sea Ice Classification: An Overview

Natalia Zakhvatkina et al.

GEOSCIENCES (2019)

Article Geochemistry & Geophysics

Ship Classification in SAR Images Improved by AIS Knowledge Transfer

Haitao Lang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Article Engineering, Civil

Ship Classification in TerraSAR-X Images With Convolutional Neural Networks

Carlos Bentes et al.

IEEE JOURNAL OF OCEANIC ENGINEERING (2018)

Article Engineering, Electrical & Electronic

OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation

Lanqing Huang et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)

Article Environmental Sciences

Ship Classification and Detection Based on CNN Using GF-3 SAR Images

Mengyuan Ma et al.

REMOTE SENSING (2018)

Article Geochemistry & Geophysics

Ship Classification in Moderate-Resolution SAR Image by Naive Geometric Features-Combined Multiple Kernel Learning

Haitao Lang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)

Article Geochemistry & Geophysics

Ship Classification Based on Superstructure Scattering Features in SAR Images

Mingzhe Jiang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)

Article Geochemistry & Geophysics

Ship Classification in SAR Image by Joint Feature and Classifier Selection

Haitao Lang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)

Article Geochemistry & Geophysics

A Novel Hierarchical Ship Classifier for COSMO-SkyMed SAR Data

Chao Wang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2014)

Article Geochemistry & Geophysics

Ship Classification in TerraSAR-X Images With Feature Space Based Sparse Representation

Xiangwei Xing et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2013)

Article Geochemistry & Geophysics

Merchant Vessel Classification Based on Scattering Component Analysis for COSMO-SkyMed SAR Images

Hong Zhang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2013)

Article Geochemistry & Geophysics

Ship Classification in Single-Pol SAR Images Based on Fuzzy Logic

Gerard Margarit et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2011)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)