Vegetation leaf parameter inversion method and device based on remote sensing

The invention provides a vegetation leaf parameter inversion device based on remote sensing, which is obtained based on an inverse process of expressing a PROSAIL model by using a deep neural network, and not only has a relatively strong physical mechanism, but also has relatively high accuracy. According to the remote sensing-based vegetation leaf parameter inversion method provided by the invention, the remote sensing data of the vegetation leaf is inversed to obtain the parameters of the vegetation leaf by using the remote sensing-based vegetation leaf parameter inversion device provided by the invention, and the method has relatively high credibility and accuracy. 本发明提供了一种基于遥感的植被叶片参数反演装置，基于经过使用深度神经网络表达PROSAIL模型的逆过程得到，不仅具有较强的物理机理，还具有较高的准确性。本申请提供的基于遥感的植被叶片参数反演方法，使用本申请提供的基于遥感的植被叶片参数反演装置，由植被叶片的遥感数据反演得到植被叶片的参数，具有较高的可信性和准确性。