Method of extracting warehouse in port from hierarchically screened remote sensing image

A method of extracting a warehouse in a port from a hierarchically screened remote sensing image, comprising the following steps:

• S100:
• extracting a coastline of the port based on an active contour model, successively performing a texture feature recognition on any region in a remote sensing image to form a sea area texture region and an irregular texture region, and extracting edge lines of the coastline of the port;
• S200:
• extracting principal component images of a plurality of hierarchies using insufficient spectrum features, selecting a sample of the irregular texture region, and forming, through a CA transformation, principal component images of different hierarchies with different difference values by taking a ratio of a between-class difference to an intra-class difference being maximum as an optimization condition;
• S300:
• accurately recognizing the warehouse in the port using a spatial relationship feature, extracting a correlation relationship of the warehouse in the port from the principle component images, and forming a feature point set with recognized warehouses to be analyzed;
• and
• S400:
• extracting a feature of a visually sensitive image from the feature point set through a scene image based on WTA visual rapid adaptation selection to obtain a feedback selection of a real scene image to extract the warehouse in the port.