The aim of this study was to evaluate three different strategies to improve classification accuracy in a highly fragmented semiarid area using, ...

The aim of this study was to evaluate three different strategies to improve classification accuracy in a highly fragmented semiarid area using, ...

The aim of this study was to evaluate three different strategies to improve classification accuracy in a highly fragmented semiarid area using, ...

A combination of four images using random forest and the three feature sets was the best way to improve accuracy, and sequential maximum a posteriori with ...

The aim of this study was to evaluate three different strategies to improve classification accuracy in a highly fragmented semiarid area using, ...

Bibliographic details on Improving Classification Accuracy of Multi-Temporal Landsat Images by Assessing the Use of Different Algorithms, Textural and ...

Improving Classification Accuracy of Multi-Temporal Landsat Images by Assessing the Use of Different Algorithms, Textural and Ancillary Information for a ...

The aim of this study is to evaluate three different strategies to improve classification accuracy in a highly fragmented semiarid area. i) Using different ...

Resumen: The aim of this study was to evaluate three different strategies to improve classification accuracy in a highly fragmented semiarid area using, (i) ...

Sep 4, 2017 · The aim of this study is to evaluate three different strategies to improve classification accuracy in a highly fragmented semiarid area. i) ...