Pixel, object and hybrid classification comparisons

Abstract

The choice of the best classification approach for thematic map generation relies on many factors, such as image resolution and minimum mapping unit. The generalized GIS-ready products derived from the results of pixel-based approaches and the availability of higher-resolution imagery have directed research towards object-based classification approaches. In this paper we present the superior performance of a hybrid methodology that combines the results of automatic segmentation with the land cover information derived from a pixel classification by means of the Winner Takes All (WTA) algorithm. Land use and land cover results obtained through this hybrid classification approach are compared with those of a One Against All (OAA) object-oriented classification approach.

Keywords:

• pixel-based classification
• object-based classification
• thematic map
• Winner Takes All (WTA) algorithm
• One Against All (OAA) algorithm
• stability map
• land use/land cover (LULC)