A Study of Image Classification using HMC Method Applying CNN Ensemble in the Infrared Image

  • Lee, Ju-Young ;
  • Lim, Jae-Wan ;
  • Koh, Eun-Jin
  • Received : 2017.05.15
  • Accepted : 2018.01.11
  • Published : 2018.05.01


In the marine environment, many clutters have similar features with the marine targets due to the diverse changes of the air temperature, water temperature, various weather and seasons. Also, the clutters in the ground environment have similar features due to the same reason. In this paper, we proposed a robust Hybrid Machine Character (HMC) method to classify the targets from the clutters in the infrared images for the various environments. The proposed HMC method adopts human's multiple personality utilization and the CNN ensemble method to classify the targets in the ground and marine environments. This method uses an advantage of the each environmental training model. Experimental results demonstrate that the proposed method has better success rate to classify the targets and clutters than previously proposed CNN classification method.


Infrared image;Convolutional neural network;Machine learning


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