Urban area building detection method based on high-resolution SAR image

Abstract

The invention relates to an urban area building detection method based on a high-resolution SAR image. The method comprises the steps of: extracting a highlight area of the SAR image through threshold segmentation, and performing angular line detection; realizing secondary scattered ray detection through connecting the tail ends of the angular lines; determining wall surface layerover areas through the angular lines and the secondary scattered rays and separating the layerover areas; analyzing texture characteristics of the separated layerover areas, converting the texture characteristics into an one-dimensional energy spectrum with the angle serving as a variable, and finding out the angle corresponding to a maximum value of the energy spectrum; and performing judgment with the angle of 90 degrees + / - 3 degrees serving as a principle for determining that the building is true. According to the invention, the building detection problem of the complex urban area can be directly solved so as to fill the blank of the prior art, the urban area building detection method based on the high-resolution SAR image has the advantages that the universality and the handleability are good, and pioneering work is performed on the aspect that the image brightness, the geometrical shape, the texture characteristics and the like are comprehensively used to recognize the building.

Description

technical field [0001] The invention relates to a method for detecting buildings in urban areas based on high-resolution SAR images, which belongs to the field of image interpretation. Background technique [0002] In SAR images, buildings often exhibit strong scattering. On medium and low resolution SAR images, the shape details of buildings are not visible, and the detection of buildings is mainly based on the scattering mechanism for image classification, and the highlighted areas are extracted as the areas where buildings exist. On high-resolution SAR images, geometric features such as overlapping, secondary scattering, and shadow areas presented by individual buildings are the main characteristics of buildings. At present, as long as the information utilization of a single-magnitude image is involved, the main lines and shadows of buildings are often used as the main basis for detection. Bennett et al. used the SAR image segmentation method of the Markov random field ...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art, to provide a method for detecting high-rise buildings in urban areas based on high-resolution SAR images, from the scattering structure characteristics of high-rise buildings in high-resolution SAR images, to provide a method with A universal and easy-to-operate detection method for high-rise buildings in urban areas, to solve the problem of building detection in complex urban environments

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