Abstract: Disclosed is a spatial simulation method for assessment of direct economic losses of a typhoon flood based on a remote sensing, and the method includes following steps: S1, collecting a multi-source data before and after a typhoon flood disaster in an affected area and preprocessing the said data to obtain a preprocessed data; S2, extracting reset parameters of a hazard-bearing body according to the preprocessed data and constructing a feature set of the reset parameters of the hazard-bearing body; S3, collecting insurance disaster assessment data and historical investigation data in the typhoon flood-affected area, and constructing a sample set of direct economic losses of the hazard-bearing body; and S4, carrying out a spatial simulation of the direct economic losses of the hazard-bearing body by adopting a deep learning of a neural network model according to the feature set of the reset parameters and the sample set of direct economic losses.

Abstract: Disclosed is a spatial simulation method for assessment of direct economic losses of a typhoon flood based on a remote sensing, and the method includes following steps: S1, collecting a multi-source data before and after a typhoon flood disaster in an affected area and preprocessing the said data to obtain a preprocessed data; S2, extracting reset parameters of a hazard-bearing body according to the preprocessed data and constructing a feature set of the reset parameters of the hazard-bearing body; S3, collecting insurance disaster assessment data and historical investigation data in the typhoon flood-affected area, and constructing a sample set of direct economic losses of the hazard-bearing body; and S4, carrying out a spatial simulation of the direct economic losses of the hazard-bearing body by adopting a deep learning of a neural network model according to the feature set of the reset parameters and the sample set of direct economic losses.