Method for extracting high-resolution SAR image building zone through multi-feature weighted fusion

Abstract

The invention relates to a method for extracting a high-resolution SAR image building zone through multi-feature weighted fusion. The method is mainly characterized in that the strategy that feature weights are determined through a distance formula is novel. The method includes the following steps that 1, intensity images are subjected to filtering and other preprocessing; 2, features are extracted based on a gray level co-occurrence matrix texture analysis method and a variation function texture analysis method; 3, the feature weights are determined based on the Bhattacharyya distance; 4, the features obtained in the step 2 are subjected to weighted fusion; 5, the fused feature images are subjected to unsupervised classification through a k-means clustering algorithm; 6, a classification result is post-processed, small zones are removed, gaps are filled, an external contour is extracted, and the building zone is obtained. The texture features facilitating building zone extraction are fully synthesized, an established fusion feature map contains texture information richer than that of a single-feature map, the classification accuracy of the building zone and a non-building zone is improved to a certain degree accordingly, the extraction accuracy of the building zone is improved, and finally the boundary contour of the extracted building zone better fits a real building zone contour.

Description

technical field [0001] The invention belongs to the field of synthetic aperture radar image interpretation of remote sensing images, in particular to feature extraction and feature fusion methods of airborne synthetic aperture radar remote sensing images. Background technique [0002] As a typical man-made structure, the built-up area on remote sensing images has always been a research hotspot and focus in image interpretation. With the rapid development of remote sensing technology, Synthetic Aperture Radar (SAR) has been used more and more in remote sensing technology due to its all-weather and all-weather advantages. In the current field of SAR image interpretation, the extraction of high-resolution SAR image building areas has become a topic of great concern. High-resolution SAR image building area extraction refers to extracting texture features that are conducive to distinguishing building areas through certain methods, and distinguishing building areas from non-build...

AI Technical Summary

Problems solved by technology

It is difficult for the Markov method to accurately model extremely uneven regions under high-resolution conditions

The variogram method based on structural information shows its advantages in the experiment, but it does not consider the direction information of the building area under the high resolution condition, and ignores the anisotropy of the variogram

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