Town information extraction method based on Google Earth remote sensing image

A remote sensing image and information extraction technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problems that there are not many studies on data sources, and the failure to take into account the structural information of space and objects

Inactive Publication Date: 2014-04-23
HOHAI UNIV
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Problems solved by technology

[0004] Regarding the extraction of urban information, there are few methods based on spatially structured information, which generally only use spectral information and fail to take into account the rich structural information of spatial features, so they ca

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  • Town information extraction method based on Google Earth remote sensing image
  • Town information extraction method based on Google Earth remote sensing image
  • Town information extraction method based on Google Earth remote sensing image

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Embodiment Construction

[0043] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] A kind of town information extraction method based on Google Earth remote sensing image of the present invention, comprises the following steps:

[0045] (1) Convert the original image into a grayscale image, and use the median filter algorithm to remove the noise existing in the original remote sensing image;

[0046] (2) Use sobel edge detection operator to generate edge feature image;

[0047] (3) Generate an edge density generation operator of a certain size according to the Gaussian function in the space domain, and then generate an edge density image;

[0048] (4) Based on the edge density image in step (3), the threshold is selected by the OSTU method, and the edge density image is segmented by threshold, and the image patches larger than the given area threshold are selected, and finally the closed operation is performed to obt...

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Abstract

The invention discloses a town information extraction method based on a Google Earth remote sensing image. The method is characterized by, to begin with, performing pretreatment, such as median filtering and the like, on the remote sensing image; then, generating an edge image of the image based on a sobel edge detection operator; next, constructing a Gauss spatial domain weighting edge density generation operator and generating an edge density image; carrying out OSTU optimal threshold segmentation on the edge density image; and at last, carrying out aftertreatment on the segmentation image, and finally obtaining town information of the remote sensing image. The extraction method in the invention is good in effect, fast in speed, and high in accuracy, and is suitable for information extraction of towns, especially towns at the connection places of cities and suburbs.

Description

technical field [0001] The invention relates to a method for extracting town information, in particular to a method for extracting town information based on Google Earth remote sensing images. Background technique [0002] As a feature independent of its surrounding agricultural land, vegetation, bare land or water body, towns are of great significance for land planning, land cover, and use mapping. Since the 21st century, with the development of space technology and the emergence of various image processing and pattern recognition algorithms, urban information extraction algorithms based on remote sensing methods have become more and more abundant, and have been widely used in various cartographic work and research. At present, commonly used urban information extraction algorithms are based on multi-spectral remote sensing images such as SPOT and TM remote sensing images, using spectral values ​​of specific bands to generate normalized normalized building index (NDBI) or it...

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Application Information

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IPC IPC(8): G06T7/00G06K9/46
Inventor 徐南陈逸凡马符讯黄卓马成陈庆严朝霞万月卢梦
Owner HOHAI UNIV
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