Crop classification method based on remote sensing image data

The invention provides a crop classification method based on remote sensing image data. The method comprises the following steps: S1, collecting remote sensing image data of crops; s2, crop features are extracted from the remote sensing image data of the crops; s3, processing the crop features by adopting a crop classification model to obtain crop types; according to the method, the problem that the prediction accuracy is not high in an existing method for predicting crop types by applying different weights is solved. 本发明提供了一种基于遥感图像数据的作物分类方法，包括以下步骤：S1、采集作物的遥感图像数据；S2、对作物的遥感图像数据提取作物特征；S3、采用作物分类模型对作物特征进行处理，得到作物类型；本发明解决了现有通过施加不同权重，预测作物类型的方法存在预测准确度不高的问题。