Capsule and convolutional neural network-based SAR ship classification in Sentinel-1 data-Reference-Cited by-同舟云学术

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Capsule and convolutional neural network-based SAR ship classification in Sentinel-1 data

Published:2019-10-08 Issue: Volume: Page:
ISSN:
Container-title:Active and Passive Microwave Remote Sensing for Environmental Monitoring III
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Author:

De Laurentiis Leonardo,Pomente Andrea,Del Frate Fabio,Schiavon Giovanni

Publisher

SPIE

Reference26 articles.

1. Radar Images of the Earth from Space

2. A Hierarchical Ship Detection Scheme for High-Resolution SAR Images

3. Ship detection in SAR imagery: A comparison study

4. An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature Joint Learning for SAR Target Recognition;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features;2023 IEEE Sensors Applications Symposium (SAS);2023-07-18

3. Capsule networks for image classification: A review;Neurocomputing;2022-10

4. Gaussian Function Fusing Fully Convolutional Network and Region Proposal-Based Network for Ship Target Detection in SAR Images;International Journal of Antennas and Propagation;2022-05-27

5. HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification;IEEE Transactions on Geoscience and Remote Sensing;2022

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