For researching properties of HJ-1A CCD camera multispectral data in performance on extraction of land features information, this paper selected the east area of NiLeke forest farm in the western Tianshan mountain as the study area, and analyzed different accuracies for HJ-1A CCD data in identifying forest land categories using various classification methods. Firstly, maximumlikelihood classifi...

Nowadays, remote sensing is used in many environmental applications, helping to solve and improve the social problems derived from them. Examples of remotely sensed applications include soil quality studies, water resources searching, environmental protection or meteorology simulations. The classification algorithms are one of the most important techniques used in remote sensing that help devel...

The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of different soft classifications may be combined to increase the classification accuracy, using the uncertainty information to choose the best class to assign to each pixel. If there is disagreement between the outputs ...

The decision tree is a popular and widely-used classification model. The two main objectives in decision tree induction are accurate predictions for unseen instances and human comprehensibility. In this paper, we use multiobjective optimization for the evolution of decision tree classifiers that are efficient both with respect to classification accuracy and classifier complexity. Simpler decisi...