High-resolution remote sensing image variation detection method based on self-adaptive threshold division

An adaptive threshold and remote sensing image technology, applied in the field of image processing, can solve the problems of high detection noise, less manual participation, poor visual effect of detection results, etc., and achieve the effect of simple operation, improved accuracy and reduced manual participation
CN101976437AActive Publication Date: 2011-02-16CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
Publication Date
2011-02-16

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Abstract

The invention relates to a high-resolution remote sensing image variation detection method based on self-adaptive threshold division. The method comprises the following steps of: firstly, geometrically registering high-resolution remote sensing images during two periods; obtaining difference images of the high-resolution remote sensing images during two periods by a difference method; obtaining a gray value threshold extracted by a variation target by a maximum infra-class variance algorithm; extracting a variation target pixel by the gray value threshold; during the detection after-treatment period, eliminating most detected noise pixels through morphology conversion with respect to more disordered variation spots; extracting the sized variation region by a region growth algorithm in combination with the threshold setting of the pixels contained in the variation region to be extracted; and finally obtaining the border outline of the variation region by a border detection method, overlapping the border outline to an original image and drawing a complete variation region. The invention does not need too much manpower, has rapider speed and can achieve favorable detection precision and visual effect.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and relates to a method for detecting land cover changes in images, which is suitable for the change detection of two single-band or multi-band high-resolution remote sensing images with the same land coverage in different periods. Background technique

[0002] As the interface between human society and nature, land cover has important socio-economic significance and ecological environment value. In recent years, my country's cities have developed rapidly. Timely and periodic acquisition of land cover change information is helpful for managers to grasp the changing trend of urban land cover, and to consider the factors of ecological environment and economic development in urban construction to achieve healthy and sustainable cities. develop. With the rapid development of satellite remote sensing technology in my country, satellite remote sensing images provide strong data support for lan...

Claims

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