Using Low-Resolution SAR Scattering Features for Ship Classification-Reference-Cited by-同舟云学术

Using Low-Resolution SAR Scattering Features for Ship Classification

Published:2022 Issue: Volume:19 Page:1-4
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Salerno Emanuele¹^ORCID

Affiliation:

1. National Research Council of Italy, Institute of Information Science and Technologies, Pisa, Italy

Funder

European Space Agency (ESA) General Support Technology Program (GSTP) Project Optical/SAR data and system Integration for Rush Identification of Ship models-Follow- On

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09797703.pdf?arnumber=9797703

Reference18 articles.

1. OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation

2. Ship Classification Based on Superstructure Scattering Features in SAR Images

3. Size and Heading of SAR-Detected Ships through the Inertia Tensor

4. The exploitation of Sentinel-1 images for vessel size estimation

Cited by 14 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. Effects Analysis of SAR Data Quantization on Deep Learning-Based Target Detection Task;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. An Improved SAR Ship Classification Method Using Text-to-Image Generation-Based Data Augmentation and Squeeze and Excitation;Remote Sensing;2024-04-07

3. Local feature matching from detector-based to detector-free: a survey;Applied Intelligence;2024-03

4. Remote Sensing for Maritime Traffic Understanding;Remote Sensing;2024-01-31

5. Transfer Adaptation Learning for Target Recognition in SAR Images: A Survey;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024