Heterogeneity Measure Based Segmentation performance Evaluation for Remote Sensing Image

In order to evaluate segmentation quality of high resolution remote sensing image, an unsupervised segmentatio N Evaluation method based on heterogeneity measure was proposed. Firstly, global variance and Weighted Moran index were introduced to express the Intro-object and Inter-object Heterogenei Ty. Then The two heterogeneity measure were normalized and summed to evaluate the whole of performance. Secondly, to evaluate the local quality of image objects, a heterogeneity measure based on object variance and local Gear Y index was presented. Finally, an experiment is carried out on a remote sensing which was segmented by Multi-esolution segmentation method. and heterogeneity measure proposed in this paper is used to evaluate the segmentation result. It shows that the heterogeneity measure can effectively evaluate the different scale segmentation results and meanwhile C An identify regions which are over-segmented or under-segmented.