Balance learning for ship detection from synthetic aperture radar remote sensing imagery
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Balance learning for ship detection from synthetic aperture radar remote sensing imagery
Authors
Keywords
Synthetic aperture radar (SAR), Ship detection, Marine surveillance, Imbalance problems and solutions, Balance learning (BL), Balance learning network (BL-Net)
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 182, Issue -, Pages 190-207
Publisher
Elsevier BV
Online
2021-11-02
DOI
10.1016/j.isprsjprs.2021.10.010
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- End-to-End Ship Detection in SAR Images for Complex Scenes Based on Deep CNNs
- (2021) Yao Chen et al. Journal of Sensors
- Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection
- (2021) Tianwen Zhang et al. Remote Sensing
- SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
- (2021) Tianwen Zhang et al. Remote Sensing
- Injection of Traditional Hand-Crafted Features into Modern CNN-Based Models for SAR Ship Classification: What, Why, Where, and How
- (2021) Tianwen Zhang et al. Remote Sensing
- Deep SAR-Net: Learning objects from signals
- (2020) Zhongling Huang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet
- (2020) Shunjun Wei et al. Remote Sensing
- An improved unsupervised representation learning generative adversarial network for remote sensing image scene classification
- (2020) Yufan Wei et al. Remote Sensing Letters
- Learning-Shared Cross-Modality Representation Using Multispectral-LiDAR and Hyperspectral Data
- (2020) Danfeng Hong et al. IEEE Geoscience and Remote Sensing Letters
- Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
- (2020) Danfeng Hong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Rotational Libra R-CNN Method for Ship Detection
- (2020) Haoyuan Guo et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images
- (2020) Kan Jin et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery
- (2020) Tianwen Zhang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images
- (2020) Tianwen Zhang et al. Remote Sensing
- Graph-Induced Aligned Learning on Subspaces for Hyperspectral and Multispectral Data
- (2020) Danfeng Hong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
- (2020) Danfeng Hong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- ShipDeNet-20: An Only 20 Convolution Layers and
- (2020) Tianwen Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation
- (2020) Danfeng Hong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
- (2019) Yuanyuan Wang et al. Remote Sensing
- Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data
- (2019) Ramona Pelich et al. Remote Sensing
- High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network
- (2019) Tianwen Zhang et al. Remote Sensing
- Dense Attention Pyramid Networks for Multi-Scale Ship Detection in SAR Images
- (2019) Zongyong Cui et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection
- (2019) Zhang et al. Remote Sensing
- Multi-scale object detection in remote sensing imagery with convolutional neural networks
- (2018) Zhipeng Deng et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Vessel detection and classification from spaceborne optical images: A literature survey
- (2018) Urška Kanjir et al. REMOTE SENSING OF ENVIRONMENT
- A coupled convolutional neural network for small and densely clustered ship detection in SAR images
- (2018) Juanping Zhao et al. Science China-Information Sciences
- Saliency detection of targets in polarimetric SAR images based on globally weighted perturbation filters
- (2018) Haiyi Yang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Inshore Ship Detection Based on Level Set Method and Visual Saliency for SAR Images
- (2018) Tao Xie et al. SENSORS
- An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
- (2018) Danfeng Hong et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A note on the triangle inequality for the Jaccard distance
- (2018) Sven Kosub PATTERN RECOGNITION LETTERS
- MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
- (2017) Daoyu Lin et al. IEEE Geoscience and Remote Sensing Letters
- A Novel Ship Detector Based on the Generalized-Likelihood Ratio Test for SAR Imagery
- (2017) Pasquale Iervolino et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Remote Sensing with Intelligent Processing 2017 in Shanghai, China [Conference Reports]
- (2017) Feng Xu et al. IEEE Geoscience and Remote Sensing Magazine
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- Disaster debris estimation using high-resolution polarimetric stereo-SAR
- (2016) Christian N. Koyama et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multilayer CFAR Detection of Ship Targets in Very High Resolution SAR Images
- (2015) Biao Hou et al. IEEE Geoscience and Remote Sensing Letters
- Deep learning
- (2015) Yann LeCun et al. NATURE
- ESA's sentinel missions in support of Earth system science
- (2012) Michael Berger et al. REMOTE SENSING OF ENVIRONMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started