Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

The global availability of high spatial resolution images makes mapping tree species
distribution possible for better management of forest resources. Previous research mainly …

Automatic land cover classification from satellite images is an important topic in many
remote sensing applications. In this paper, we consider three different statistical approaches …

This paper presents an evaluation of several parametric classification algorithms to assess
their accuracy on various landscapes. Traditionally the maximum likelihood classifier is used …

Linear features of agrarian landscapes are the anthropogenic elements such as hedgerows,
ditches, and bench terraces that strongly impact agrarian areas' environmental behaviour …

Although remote sensing is increasingly in use for habitat mapping, traditional image
classification methods tend to suffer shortcomings due to non-normality of spectral …

The aim of this study is to compare the changes that occurred in the main urban land-cover
classes of Ulaanbaatar city, Mongolia, during a centralized economy with those that …

Uncontrolled coal seam fires are a tremendous natural hazard and economic disaster
occurring in over 15 coal producing countries worldwide. In China alone, coal fire related …

This paper shows some combinations of classifiers that achieve high accuracy
classifications. Traditionally the maximum likelihood classification is used as an initial …

In recent decades, mountainous areas that contain some of the best-preserved habitats
worldwide are experiencing significant, rapid changes. Efficient monitoring of these areas is …