High-resolution synthetic aperture radar image linear building detecting method based on marked watershed algorithm

Abstract

The invention provides a high-resolution synthetic aperture radar image linear building detecting method based on a marked watershed algorithm. An original edge enhancement image is obtained through a canny edge detection algorithm; through a two-dimension minimum Tsallis cross entropy method and second-order Butterworth low-pass filtering, impurities and noise points of the image are filtered out, and noise interference is effectively avoided; a morphological algorithm is used, the fact that effective area information is not lost is guaranteed, meanwhile, some fuzzy areas or connected areas can be separated, and the integrity and the consistency of building detecting are guaranteed; computing of a connected domain is combined, invalid targets and information of non-noise points can be eliminated, and the foreground marker of the marked watershed algorithm is located accurately; the filtered image is subjected to the marked watershed algorithm, an obtained boundary image is used as the background marker of the marked watershed algorithm, and the integrity of the building boundary information is guaranteed; and the original edge enhancement image is modified through an H-minima technology and morphology reconstitution, so that a local minimum value only exists at the positions of the foreground marker and the background marker, the phenomenon of building over-segmentation is removed, and a linear building in the high-resolution synthetic aperture radar image can be detected accurately.

Description

Technical field [0001] The invention relates to a synthetic aperture radar image building detection method, in particular to a high-resolution synthetic aperture radar image linear building detection method based on a marked watershed algorithm, which can be used for the detection of a high-resolution synthetic aperture radar image linear building . Background technique [0002] Building detection refers to detecting the building from the image and separating it from the scene. Detecting man-made targets such as buildings from synthetic aperture radar images is an important part of synthetic aperture radar image interpretation. In recent years, research on building detection in synthetic aperture radar images has gradually attracted the attention of researchers. At present, the commonly used methods are mostly based on the fusion detection of multiple image information, such as two or more synthetic aperture radar images, synthetic aperture radar images and optical images, and ...

AI Technical Summary

Problems solved by technology

These pseudo local minima and those real local minima will be regarded as an independent area, which will be segmented by the watershed algorithm, which will cause serious over-segmentation when detecting buildings in synthetic aperture radar images

Images