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ANALYSIS OF VHR IMAGE CLASSIFICATION BY SINGLE AND ENSEMBLE OF CLASSIFIERS

机译:单一和集装作用的VHR图像分类分析

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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.
机译:鉴于如今可用的各种图像分类器,一些问题仍然是非常高分辨率(VHR)图像的准确性和处理时间。另一个问题涉及单一或集合分类器的使用。当然,考虑的主要因素是分类图像的质量,但计算成本也很重要,特别是在需要实时处理的应用中。鉴于这种情况,本文旨在将七个单分类器的准确性与处理时间相关联。在本文中,分类器的集合在准确性方面具有最佳结果,但是,涉及处理时间,决策树具有最佳性能。

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