Artificial Building Recognition Algorithm Based on Texture Segmentation and Fusion of Radar Remote Sensing Image

Abstract

The invention discloses a radar remote sensing image artificial building recognition algorithm based on texture segmentation and fusion. The algorithm steps are as follows: determine the image segmentation scale factor and logical mask segmentation scale according to the sensor type; find, calculate and screen the spatial autocorrelation structure index feature and gray level co-occurrence matrix texture feature; according to the mask scale, the spatial feature index and texture information Perform logical masking; use mathematical morphology operations to filter the masking results; perform preliminary logical clustering on the filtered results, and search for obvious building areas; according to the preliminary search results, logical clustering again and combined with mathematical morphology reconstruction algorithms, update Improve the obvious building area, and reconstruct it through the mathematical morphology section, and finally obtain the building information recognition result accurately. The invention maximizes the ability of mathematical morphology and logical clustering to identify buildings in SAR images, and can improve the final identification accuracy of building information.

Description

technical field [0001] The invention relates to the technical field of remote sensing pattern recognition, in particular to a radar remote sensing image artificial building recognition algorithm based on texture segmentation and fusion. Background technique [0002] The ecological environment is the most complex structure and the basis for the continuous creation of human social civilization. Its two main characteristics are: growth and dynamics. This increases the complexity of analyzing and understanding the use of remote sensing data. With the development of society and economy and the advancement of science and technology, the process of socialization is accelerating, and artificial surfaces (especially impermeable layers such as buildings and roads) are gradually replacing natural landscapes such as vegetation, causing urban land use / coverage problems. fundamental changes. Compared with optical satellite images, SAR satellite images have all-day and all-weather charac...

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Problems solved by technology

[0005] Aiming at the deficiencies in the existing technology, the purpose of the present invention is to provide a radar remote sensing image artificial building recognition algorithm based on texture segmentation and fusion, which solves the problem of effectively using the spatial texture features of synthetic aperture radar (SAR) remote sensing data to extract building information with high precision. The problem

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