طبقه بندی خودکار پوشش زمین با وضوح بالا با استفاده از یک روش وزن داده های جدید: ترکیبی از الگوریتم خوشه بندی k-means و تدابیر گرایش مرکزی (KMC-CTM)

When classification through data weighting method (the combination of k-means clustering and mode measure) along with k-NN (for k = 1), ELM and SVM classification algorithms was made, the overall classification accuracy obtained proved to be 98.58%, 98.62% and 98.77%, respectively. The obtained results suggest that the urban land cover in an atmospheric image via the recommended data weighting method was classified as 9 different areas with a high classification success rate.