Scene heterogeneity

is a SAR image feature which reflects the textural information variation.Three heterogeneity measurements based on coefficient of variation

the ratio of the Arithmetic to the Geometric Mean and information theory respectively were theoretically investigated

and the detailed methods were provided. Finally

the performance comparison among the heterogenity was represented through the experiment simulation

and the samples of application in image segmentation were presented. The conclusion is that scene heterogeneity measurement can describe the degree of complexity for SAR imagery

which helps to post-processing of SAR image such as image segmentation.