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Title
Domain Adaptive Ship Detection in Optical Remote Sensing Images
Authors
Keywords
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Journal
Remote Sensing
Volume 13, Issue 16, Pages 3168
Publisher
MDPI AG
Online
2021-08-11
DOI
10.3390/rs13163168
References
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Related references
Note: Only part of the references are listed.- Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images
- (2021) Liqiong Chen et al. Remote Sensing
- R-CNN-Based Ship Detection from High Resolution Remote Sensing Imagery
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- Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images
- (2018) Wenchao Liu et al. IEEE Geoscience and Remote Sensing Letters
- HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing Imagery
- (2018) Qingpeng Li et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks
- (2018) Xue Yang et al. Remote Sensing
- Ship Detection From Optical Satellite Images Based on Saliency Segmentation and Structure-LBP Feature
- (2017) Feng Yang et al. IEEE Geoscience and Remote Sensing Letters
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- 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
- Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds
- (2016) Zikun Liu et al. IEEE Geoscience and Remote Sensing Letters
- A Novel Inshore Ship Detection via Ship Head Classification and Body Boundary Determination
- (2016) Sun Li et al. IEEE Geoscience and Remote Sensing Letters
- A New Method on Inshore Ship Detection in High-Resolution Satellite Images Using Shape and Context Information
- (2013) Ge Liu et al. IEEE Geoscience and Remote Sensing Letters
- A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features
- (2010) Changren Zhu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
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