BP neural network model-based annual illuminable time calculation method

The invention belongs to the technical field of geographic information, and particularly relates to a BP neural network model-based annual illuminable time calculation method. The method comprises thefollowing steps: training a BP neural network model; constructing a digital elevation model image of the calculation area into an input matrix; transmitting the input matrix into a BP neural networkmodel, and calculating to obtain an output matrix; and converting the output matrix into an annual illuminable time number matrix of the calculation region. According to the invention, the time numbercapable of being shot at any designated place can be calculated rapidly and accurately; the model is simple and easy to understand, calculation amount is small, compared with an existing mathematicalmodel calculation mode, the calculation time is greatly shortened, the precision is higher, basic data can be provided for deeply knowing the spatial distribution characteristics of the sensible timenumber and calculating direc