CFAR Ship Detection in SAR Images Based on the Generalized Rayleigh Mixture Models-Reference-Cited by-同舟云学术

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CFAR Ship Detection in SAR Images Based on the Generalized Rayleigh Mixture Models

Published:2022-11-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)
language:
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Author:

Madjidi Hicham¹,Laroussi Toufik¹,Farah Faiçal¹

Affiliation:

1. Université Frères Mentouri Constantine 1,Laboratoire SISCOM,Constantine,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10093233/10093088/10093718.pdf?arnumber=10093718

Reference12 articles.

1. Fast Superpixel-Based Non-Window CFAR Ship Detector for SAR Imagery

2. A new CFAR algorithm based on variable window for ship target detection in SAR images

3. Ship Detection in Ice-Infested Waters Based on Dual-Polarization SAR Imagery

4. Generalized Rayleigh distribution: different methods of estimations

5. Fast target detection in radar images using Rayleigh Mixtures and Summed Area Tables

Cited by 2 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. CFAR Detection of ships based on Median Absolute Deviation for SAR imagery in a Heterogeneous Weibull Sea Clutter;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

2. Percentile-Based Estimator for Generalized Rayleigh CFAR Ship Detection in SAR Imagery;2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM);2023-11-28

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