4.7 Article

Synergistic Attention for Ship Instance Segmentation in SAR Images

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

An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images

Jiamei Fu et al.

Summary: A novel detection method named FBR-Net is proposed in this article, which achieves efficient detection of multiscale SAR ships in complex scenes by eliminating the anchor effect, balancing multiple features, and refining object features.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Article Computer Science, Artificial Intelligence

A CenterNet plus plus model for ship detection in SAR images

Haoyuan Guo et al.

Summary: This study addresses the challenges of ship detection in SAR images by proposing an effective and stable single-stage detector called CenterNet++, which utilizes modules like feature refinement, feature pyramids fusion, and head enhancement to tackle issues such as small object detection, generating powerful semantic information, and achieving a balance between foreground and background. The proposed method demonstrates state-of-the-art performance on popular SAR image datasets with remarkable accuracy improvement and minimal increase in time cost compared to baseline approaches.

PATTERN RECOGNITION (2021)

Article Environmental Sciences

Ship Detection and Feature Visualization Analysis Based on Lightweight CNN in VH and VV Polarization Images

Xiaomeng Geng et al.

Summary: The proposed two-stage ship detection method for land-contained maritime area improves accuracy by using island filtering and threshold segmentation for candidate detection, followed by a lightweight two-layer CNN model-based classifier to separate false alarms from ship objects.

REMOTE SENSING (2021)

Article Environmental Sciences

A Deep Detection Network Based on Interaction of Instance Segmentation and Object Detection for SAR Images

Zitong Wu et al.

Summary: A new ship detection network called ISASDNet, utilizing a two-stage detection network structure with object and pixel branches, global relational inference layers, and a global reasoning module for improved instance segmentation results of ships. The MASDM module and a specific strategy further enhance the performance of detection results.

REMOTE SENSING (2021)

Article Computer Science, Artificial Intelligence

Mask R-CNN

Kaiming He et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)

Article Computer Science, Artificial Intelligence

Focal Loss for Dense Object Detection

Tsung-Yi Lin et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)

Article Environmental Sciences

Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet

Shunjun Wei et al.

REMOTE SENSING (2020)

Article Computer Science, Artificial Intelligence

Squeeze-and-Excitation Networks

Jie Hu et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)

Article Computer Science, Information Systems

HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation

Shunjun Wei et al.

IEEE ACCESS (2020)

Article Environmental Sciences

Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery

Yuanyuan Wang et al.

REMOTE SENSING (2019)

Article Environmental Sciences

High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network

Tianwen Zhang et al.

REMOTE SENSING (2019)

Article Environmental Sciences

Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection

Tianwen Zhang et al.

REMOTE SENSING (2019)

Proceedings Paper Energy & Fuels

Space Charge Analysis of Polyethylene with Chemical Defects Based on Density Function Theory

Tao Lin et al.

2018 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) (2018)

Article Computer Science, Artificial Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Engineering, Electrical & Electronic

Saliency Detector for SAR Images Based on Pattern Recurrence

Haipeng Wang et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)

Article Computer Science, Artificial Intelligence

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

Review Environmental Sciences

Target detection in synthetic aperture radar imagery: a state-of-the-art survey

Khalid El-Darymli et al.

JOURNAL OF APPLIED REMOTE SENSING (2013)

Article Remote Sensing

On the novel use of model-based decomposition in SAR polarimetry for target detection on the sea

Mitsunobu Sugimoto et al.

REMOTE SENSING LETTERS (2013)