Remote sensing image segmentation method and system based on neighborhood spectral similarity

The invention relates to a remote sensing image segmentation method and system based on neighborhood spectral similarity, and the method comprises the following steps: carrying out the preprocessing of an obtained original remote sensing image, and obtaining the remote sensing image data containing the reflectivity of ground objects of each wave band; and calculating a preset segmentation index based on the remote sensing image data containing the surface feature reflectivity of each wave band, and classifying the remote sensing image data based on a preset segmentation threshold to obtain a remote sensing image classification result. According to the invention, based on the preprocessed remote sensing image, the remote sensing image is segmented by fully utilizing the spectral similarity and the similarity index of the neighborhood surface features, so that the segmentation accuracy is greatly improved. Therefore, the method can be widely applied to the field of image classification. 本发明涉及一种基于邻域光谱相似性的遥感影像分割方