Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …

The remote sensing science and application communities have developed increasingly
reliable, consistent, and robust approaches for capturing land dynamics to meet a range of …

The production of thematic maps, such as those depicting land cover, using an image
classification is one of the most common applications of remote sensing. Considerable …

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 …

In recent years, decision tree classifiers have been successfully used for land cover
classification from remote sensing data. Their implementation as a per-pixel based classifier …

The accuracy of a land cover classification is the degree to which the map land cover agrees
with the reference land cover classification (ie ground condition). The basic sampling …

As Geographic Information Systems (GIS) have developed and their applications have been
extended, the issue of uncertainty has become increasingly recognized. It is highlighted by …

Occurrence of mixed pixels in remote sensing images is a major problem particularly at
coarse spatial resolutions. Therefore, sub-pixel classification is often preferred, where a …

Satellite imagery is formed by finite digital numbers representing a specific location of
ground surface in which each matrix element is denominated as a picture element or pixel …

During the last few years, the remote sensing community has been trying to address the
need for global synthesis to support policy makers on issues such as deforestation or global …