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Convolution neural networks for ship type recognition

  • Published:2016-05-12 Issue: Volume: Page:
  • ISSN:0277-786X
  • Container-title:SPIE Proceedings
  • language:
  • Short-container-title:

Author:

Rainey Katie,Reeder John D.,Corelli Alexander G.

Publisher

SPIE

Reference13 articles.

1. Are face recognition methods useful classifying ships?;Harguess,2011

2. Vessel classification in overhead satellite imagery using learned dictionaries;Rainey,2012

3. ImageNet Large Scale Visual Recognition Challenge

4. Maritime vessel recognition in degraded satellite imagery;Rainey,2014

5. Vessel classification in overhead satellite imagery using weighted bag of visual words;Parameswaran,2015

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1. Dual-Stream Contrastive Predictive Network with Joint Handcrafted Feature View for SAR Ship Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Ship Type Recognition using Deep Learning with FFT Spectrums of Audio Signals;El-Cezeri Fen ve Mühendislik Dergisi;2023-01-20

3. Maritime ship recognition based on convolutional neural network and linear weighted decision fusion for multimodal images;Mathematical Biosciences and Engineering;2023

4. Detection and Classification of Ships using a self-attention Residual Network;2022 IEEE 6th Conference on Information and Communication Technology (CICT);2022-11-18

5. A Convolutional Neural Network for Heterogeneous Ship Images Classification;2021 CIE International Conference on Radar (Radar);2021-12-15
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