Multi-center city hot spot area rapid identification and dynamic monitoring method

The invention relates to a multi-center city hot spot area rapid identification and dynamic monitoring method. The method comprises the following steps of: S1, enabling monthly VIIRS night light image data, obtained in advance, of a research area to be subjected to data fusion, filtering and fitting processing, and then obtaining annual stable VIIRS night light data; S2, based on the geographic space position feature vector of each pixel point in the research area and the night light intensity attribute value of the annual stable VIIRS data, combining a support vector machine regression model to obtain a night light intensity prediction value and an urban hot spot area; and S3, based on the urban hot spot area, analyzing and acquiring a space-time migration track of the urban hot spot area in combination with a gravity center method. The method is high in spatial resolution, strong in light detection capability, wide in application range, simple in algorithm and relatively low in cost, and can accurately iden