High-resolution SAR image individual building extraction method

Abstract

The invention discloses a high-resolution SAR image individual building extraction method, and the method comprises the steps: firstly carrying out domain ontology modeling through combining the imaging features of a high-resolution SAR image individual building and the characteristics of a complex morphological structure, and constructing an individual building body semantic model in a high-resolution SAR image; secondly obtaining image regions with the good homogeneity and clear boundary through employing SAR image segmentation based on an object, wherein the image regions are the basic processing units extracted by building base units; combining with the related rule of the building base units in the body model, wherein the extracted image object characteristics comprise regional features, shape features, geometric features, texture features, and topological features; forming the object expression of body semantic description according to the body semantic rule and the object features, guiding the image objects to be automatically recognized as the building base units, and achieving the large-scale individual building recognition which takes the semantic knowledge as the center. The method can extract a large-scale individual building in the high-resolution SAR image accurately and quickly.

Description

technical field [0001] The invention belongs to the field of synthetic aperture radar SAR (Synthetic Aperture Radar, SAR) image interpretation, and relates to a method for extracting a single building from a high-resolution SAR image. A method to rate SAR images of large single buildings. Background technique [0002] Using remote sensing images to interpret the location information of individual buildings is of great significance for urban planning and disaster assessment. The meter-level high-resolution data obtained by spaceborne SAR systems such as TerraSAR-X and Cosmo-SkyMed can present the spatial and geometric structure details of the target, which makes it possible to interpret a single building on the SAR image. However, due to the complex environmental factors of the urban area, the different orientations of buildings and the heterogeneity of the buildings themselves, the extraction of single buildings has become one of the most challenging tasks in SAR image inte...

AI Technical Summary

Problems solved by technology

However, because the detected features are relatively simple or the use scenarios are relatively single, most of the above methods are not suitable for the extraction of azimuth buildings or single buildings with complex structures.

In addition, the existing methods basically belong to the method of pixel-based feature detection and combination judgment, which not only has the disadvantage of low feature detection efficiency, but also needs to set too many parameter thresholds.

Images