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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

Active Publication Date: 2011-02-16
CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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Problems solved by technology

[0005] The problem to be solved by the technology of the present invention is: to overcome the disadvantages of the existing technology that there are many detection noises and the visual effect of the detection results is not good, and provide a high-resolution detection system based on adaptive threshold segmentation with fast speed, good precision, and less manual participation. Remote Sensing Image Change Detection Method

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

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Embodiment

[0070] 1. Experimental data

[0071]The experimental data are divided into two groups. The first group is high-resolution remote sensing images covering the same area in different phases of single band, such as figure 2 Shown: The source of the image is the CBERS HR panchromatic image with a resolution of 2.36 meters. In order to ensure the timeliness of land cover change detection, this paper selects images with relatively similar periods, which were taken on January 1, 2008 and December 30, 2008, and the image size is 533*589 (unit: pixel); the second The group consists of high-resolution remote sensing images covering the same area with three bands in different phases, such as Figure 5 As shown: the time phases are 2002 and 2003 respectively, and the image size is 1024*1024 (unit: pixel). In the morphological transformation process of the two sets of data, 5 times of erosion operations are performed first, and then 6 times of expansion operations are performed. The numb...

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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.

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...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 郑琎琎吕争李杏朝张浩平王奇
Owner CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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