Study on Land Use Classification of Weinan Based on Landsat8

Rapid and accurate monitoring of the dynamic change construction land is great significance for strictly controlling arbitrary growth urban protecting agricultural forestry land. In order to master situation use conduct more efficient research on classification, this paper takes Weinan as object uses Landsat8 data under same classification conditions analyze image features various types respectively by using minimum distance, maximum likelihood random forest method, carries out research. The shows that selected area, method has higher accuracy time efficiency, while distance can not reflect its superior performance, overall lower than obvious advantages. Therefore, in remote sensing image, suitable when dimension low.