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An urban area extraction method based on gabor feature saliency from remote sensing images

An urban area and remote sensing image technology, applied in the field of remote sensing image processing, can solve the problems of complex and changeable artificial target shape, target recognition interference, etc. Effect

Active Publication Date: 2020-05-08
WUHAN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the diversity of human activities, the shapes of artificial targets are complex and changeable, and their characteristics in different scale spaces are different. At the same time, the natural surface and clouds also show rich Textures and obvious edges interfere with target recognition

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  • An urban area extraction method based on gabor feature saliency from remote sensing images
  • An urban area extraction method based on gabor feature saliency from remote sensing images
  • An urban area extraction method based on gabor feature saliency from remote sensing images

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Embodiment Construction

[0048] In order to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0049] see figure 1 , the method provided by the embodiment of the present invention includes the following steps.

[0050] Step 1, determine Gabor filter parameters to construct a two-dimensional Gabor filter kernel function.

[0051] In the spatial domain, a two-dimensional Gabor function is a Gaussian kernel function modulated by a sinusoidal plane wave, which can be viewed as a multiplication of a Gaussian function and a complex exponential function, usually in the form:

[0052]

[0053] Where i is the imaginary number unit, (x, y) is the coordinate of the pixel position; λ is the wavelength of the sine function; σ is the standard deviation of the Gaussian function; γ is the aspect ratio of the Gaussian function; θ is the direction of the Gabor kernel func...

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Abstract

The invention discloses a method for extracting urban areas from remote sensing images based on Gabor feature saliency, comprising: S1 determining Gabor filter parameters to construct a two-dimensional Gabor filter kernel function; Secondary convolution operation; S3 synthesis of multi-directional convolution results; S4 regularization of feature maps after direction synthesis; S5 smoothing operation of feature maps; S6 determination of urban area segmentation threshold; Connect the city as a whole. The method of the invention requires manual intervention, can realize accurate automatic extraction of urban areas for images of different types of sensors, different spatial resolutions, and different scenes, and has high extraction accuracy, meeting the needs of automatic production of massive remote sensing images.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, in particular to a method for extracting urban areas from remote sensing images based on Gabor feature saliency. Background technique [0002] With the vigorous development of earth observation technology at home and abroad, the earth observation system is becoming more and more perfect, the data volume of optical remote sensing images is increasing rapidly, and the degree of marketization is increasing year by year. It has been widely used in urbanization research, land survey, disaster prevention and mitigation, etc. . In this application background, it is of great significance to study the automatic urban area extraction method for massive remote sensing images. [0003] The scene of remote sensing images is complex and contains a huge amount of information. Among them, artificial targets with rich textures and obvious edges are more likely to attract the attention of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/13G06V10/443
Inventor 杨羚康一飞
Owner WUHAN UNIV