Research on a Multi-Scale Segmentation Algorithm Based on High Resolution Satellite Remote Sensing Image

Abstract

A multi-scale segmentation algorithm based on high resolution satellite remote sensing image is proposed in this study.Firstly, scale parameter was set up according to the size of the target object.Then the heterogeneity between adjacent image regions was calculated by the formula.Thereafter, the heterogeneity and scale parameter were compared.If heterogeneity was smaller than the scale parameter, the adjacent image regions were merged and the process of comparing and merging continued; otherwise; if heterogeneity was not smaller than the scale parameter, the process of merging the adjacent image regions ended and image segmentation of remote sensing image completed.Finally, the target objects were divided into single image object.Our experiment shows that this novel algorithm can adjust scale parameter according to the size of the target object, and achieve multi scale segmentation of remote sensing image.