In recent years,the UAV-RS(UAV remote sensing)technology has developed rapidly and been widely applied in natural resources,forestry,and many other fields.The technology is based on UAV-RS and machine learning-based image recognition technology,which has many advantages such as high precision,high efficiency and great convenience.Based on the identification of an aquaculture area in Zhoushan,Qushan Island,Zhejiang Province,SVM(support vector machine)method is used to calculate the spatial information of each functional region,and various characteristic factor parameters in the region are obtained.Through supervised classification,the stability of the model simulation effect under different spectral space conditions is tested,and some sample pixels are used as a set of training objects.The results show that SVM has high determining ability under the condition of small sample size for fast ground object recognition analysis,but meanwhile,its effect is greatly affected by the training set.Therefore,the recognition accuracy of various ground objects can be promoted by improving the sample data.
万方数据
维普
