Land Cover Classification and Mapping based on Segmentation Optimized Hierarchical Object Classification System

With the wide application of high-resolution satellite，Object based Image Analysis (OBIA) has gradually become main stream of extracting land cover information.Segmentation optimization is a fundamental step in OBIA.Different land cover types usually have different optimized segmentation parameters.How to make full use of the optimal Multi-Resolution Segmentation (MRS) to establish a segmentation classification hierarchy and to achieve high-precision land cover mapping，is a challenge in object-oriented image analysis.based on the optimal segmentation parameters of different land cover types，this paper explores a method to construct a segmentation optimized hierarchical classification system based on the minimum optimized segmentation unit.Experiments show that this method can effectively reduce the dependence on the operator's personal experience when setting up the classification hierarchy system，improve the classification accuracy，and meet the requirements of automatic drawing.