Rule-based classification of SPOT imagery using object-oriented approach for detailed land cover mapping

Abstract

Preparation of land cover / land use maps for large areas, based on automatic classification of high-resolution satellite data is the objective of many application programmes, e.g. GSE Land Monitoring Services. The crucial point for this kind of activity is to apply optimal classification approach, which will ensure high class recognition accuracy and classification repeatability. Among different approaches object-oriented approach seems to give the best results, as it allows to use various spectral and non-spectral features in the classification process and enables to have more control of the final map accuracy.