A Multi-Level Non-Uniform Spatial Sampling Method for Accuracy Assessment of Remote Sensing Image Classification Results
Accuracy assessment of classification results has important significance for the application of remote sensing images, which can be achieved by sampling methods.However, the existing sampling methods either ignore spatial correlation or do not consider spatial heterogeneity.Here, we proposed a multi-level non-uniform spatial sampling method (MNSS)