Effective key parameter determination for an automatic approach to land cover classification based on multispectral remote sensing imagery.

ABSTRACT: The classification of land cover based on satellite data is important for many areas of scientific research. Unfortunately, some traditional land cover classification methods (e.g. known as supervised classification) are very labor-intensive and subjective because of the required human involvement. Jiang et al. proposed a simple but robust method for land cover classification using a prior classification map and a current multispectral remote sensing image. This new method has proven to be a suitable classification method; however, its drawback is that it is a semi-automatic method because the key parameters cannot be selected automatically. In this study, we propose an approach in which the two key parameters are chosen automatically. The proposed method consists primarily of the followin

SUBMITTER: Wang Y 

PROVIDER: S-EPMC3810380 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature