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Method for detecting variation of high resolution remote sensing images

A change detection and remote sensing image technology, applied in image analysis, image data processing, instruments, etc., can solve the problems that affect the accuracy of change detection, it is difficult to detect non-homogeneous surface areas, etc., to achieve the effect of improving accuracy

Inactive Publication Date: 2014-11-19
HUAZHONG AGRI UNIV
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Problems solved by technology

[0002] It is difficult to detect changes in heterogeneous planar regions when the change detection algorithm at the pixel level is applied to high spatial resolution images; the change detection algorithm of a single-scale surface object has over-segmentation or incomplete segmentation, also affects the accuracy of change detection

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  • Method for detecting variation of high resolution remote sensing images
  • Method for detecting variation of high resolution remote sensing images

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Embodiment Construction

[0007] Hereinafter, the invention will now be described more fully with reference to the accompanying drawings, in which various embodiments are shown. However, this invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0008] Hereinafter, exemplary embodiments of the present invention will be described in more detail with reference to the accompanying drawings.

[0009] For two high-resolution remote sensing images of the same area that have been registered in different periods, the change detection using multi-scale segmentation is divided into three steps (for details, see figure 1 ). (1) Use the Mean-shift image segmentation algorithm to perform multi-scale segmentation of images in different phases to form geographical objects o...

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Abstract

The invention relates to a method for detecting variation of high resolution remote sensing images. The method comprises the following steps: (1) conducting multi-scale segmentation on images of different time phases to form geographic objects with different sizes through adopting the Mean-shift image segmentation algorithm; (2) extracting features of the multi-scale geographic objects and constructing eigenvectors; (3) based on the change vector analysis (CVA), detecting the variation of the eigenvectors of the multi-scale geographic objects of different time phases to obtain the final variation detection result.

Description

technical field [0001] The invention relates to a method for detecting changes in high-resolution remote sensing images. Background technique [0002] It is difficult to detect changes in heterogeneous planar regions when the change detection algorithm at the pixel level is applied to high spatial resolution images; the change detection algorithm of a single-scale surface object has over-segmentation or incomplete segmentation, It also affects the accuracy of change detection. Contents of the invention [0003] Based on the above, the present invention proposes a change detection algorithm using multi-scale phase objects, which can automatically extract high-resolution image change regions and improve the accuracy of change detection. [0004] The invention provides a method for detecting changes in high-resolution remote sensing images. The method includes the following steps: (1) using the Mean-shift image segmentation algorithm to perform multi-scale segmentation on im...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 佃袁勇姚崇怀周志翔黄春波王娣
Owner HUAZHONG AGRI UNIV
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