Research on Remote Sensing Image Land Feature Classification Based on Artificial Intelligence
Feature analysis is of great significance in areas such as urban and rural planning,land use management,and environmental protection.However,traditional manual methods have problems such as low efficiency,high cost,and insufficient accuracy when processing large-scale remote sensing image data.With the rapid development of artificial intelligence technology,its application in remote sensing image classification provides new possibilities for solving these problems.The article focuses on the task of analyzing rural land features,using 7 classic artificial intelligence models for training,and proposing an integrated method to fuse the results of multiple models.The experimental results show that this method has a classification accuracy of 99.05%,significantly improving the classification accuracy.It can provide reliable technical support for the analysis of rural land features and important reference basis for decision-making in the fields of urban and rural planning and land management.
feature analysisartificial intelligenceurban and rural planningimage classification
NETL
NSTL
万方数据
