Large-range building photovoltaic potential calculation method based on airborne point cloud data

The invention discloses a large-range building photovoltaic potential calculation method based on airborne point cloud data. The method comprises the following steps: obtaining three-dimensional point cloud data of an urban area through an airborne laser radar; unsupervised domain adaptation training is carried out by using the public urban area three-dimensional point cloud data with labels and the three-dimensional point cloud data needing to be classified; performing forward reasoning on the three-dimensional point cloud data needing to be classified by using the trained deep learning model to obtain a classification result of the point cloud data; building category point cloud is extracted according to a semantic segmentation result, single building point cloud data is obtained through conditional European clustering, and three-dimensional reconstruction is performed on the single building point cloud data to obtain a building three-dimensional model; radiation simulation is carried out according to the b