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Artificial intelligence techniques for small boats detection in radar clutter. Real data validation

  • Published:2018-01 Issue: Volume:67 Page:296-308
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

del-Rey-Maestre Nerea,Mata-Moya David,Jarabo-Amores María-Pilar,Gomez-del-Hoyo Pedro-Jose,Barcena-Humanes Jose-Luis

Funder

Spanish Ministerio de Economía y Competitividad

University of Alcalá

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference43 articles.

1. Optimum detection of moderately fluctuating radar targets;Aloisio;IEEE Proc. Radar Sonar Navigation,1994

2. A new learning algorithm for blind signal separation;Amari;Adv. Neural Inf. Process. Syst.,1996

3. Aref, M., Nayebi, N., 1994. Likelihood-ratio detection. In: Proceedings of IEEE International Symposium on Conference: Information Theory, pp. 1–260.

4. Neural Networks for Pattern Recognition;Bishop,1995

5. Small-target detection in high-resolution heterogeneous sea-clutter: An empirical analysis;Carretero-Moya;IEEE Trans. Aerosp. Electron. Syst.,2011

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3. Two-Stage Sea-Surface Small Target Detection Using Multifeature-Fusion-Based Binary Classifier and SCR Enhancement;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Knowledge-Aided Sea Clutter Suppression Based on Echo State Network;2023 IEEE Radar Conference (RadarConf23);2023-05-01

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