04 Nov 2020
04 Nov 2020
ANALYSIS OF VHR IMAGE CLASSIFICATION BY SINGLE AND ENSEMBLE OF CLASSIFIERS
M. G. Lacerda1,2, E. H. Shiguemori1,3, A. J. Damião1,2, C. S. Anjos4, and M. Habermann1
M. G. Lacerda et al.
M. G. Lacerda1,2, E. H. Shiguemori1,3, A. J. Damião1,2, C. S. Anjos4, and M. Habermann1
- 1Institute for Advanced Studies - IEAv, São José dos Campos-SP, Brazil
- 2Aeronautics Institute of Technology - ITA, São José dos Campos-SP, Brazil
- 3National Institute for Space Research - INPE, São José dos Campos-SP, Brazil
- 4Federal Institute of Education, Science and Technology of South of Minas Gerais - IFSULDEMINAS, Inconfidentes-MG, Brazil
- 1Institute for Advanced Studies - IEAv, São José dos Campos-SP, Brazil
- 2Aeronautics Institute of Technology - ITA, São José dos Campos-SP, Brazil
- 3National Institute for Space Research - INPE, São José dos Campos-SP, Brazil
- 4Federal Institute of Education, Science and Technology of South of Minas Gerais - IFSULDEMINAS, Inconfidentes-MG, Brazil
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Keywords: RPAS, Very High Resolution Images, Classifiers, Majority Voting, Computational Time
Given the wide variety of image classifiers available nowadays, some questions remain about the accuracy and processing time of Very High Resolution (VHR) images. Another question concerns the use of a Single or Ensemble Classifiers. Of course, the main factor to consider is the quality of the classified image, but computational cost is also important, especially in applications that require real-time processing. Given this scenario, this paper aims to relate the accuracy of seven single classifiers and the ensemble of the same classifiers with the processing time. In this paper the ensemble of classifiers had the best results in terms of accuracy, however, it comes to processing time, the decision tree had the best performance.
