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An Intensity-Space Domain CFAR Method for Ship Detection in HR SAR Images

  • Published:2017-04 Issue:4 Volume:14 Page:529-533
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Wang ChongleiORCID,Bi Fukun,Zhang Weiping,Chen Liang

Funder

National Natural Science Foundation of China

Chang Jiang Scholars Program

Hundred Leading Talent Project of Beijing Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

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1. Instability of energy spectrum disturbance for ship turbulent wakes: SAR imaging simulation and analysis;Ocean Engineering;2024-01

2. A New Deep Neural Network Based on SwinT-FRM-ShipNet for SAR Ship Detection in Complex Near-Shore and Offshore Environments;Remote Sensing;2023-12-18

3. ESD-Ship: An Fast and Accurate SAR Ship Detection Method;2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP);2023-10-27

4. DLAHSD: Dynamic Label Adopted In Auxiliary Head for SAR Detection;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

5. Unsupervised Ship Detection in SAR Imagery Based on Energy Density-Induced Clustering;International Journal of Network Dynamics and Intelligence;2023-09-26
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