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Multi-temporal remote-sensing image change detection method by combining Chi-square transmission and MRF model

A change detection and remote sensing image technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of complex background information and noise interference of high spatial resolution remote sensing images, and achieve reliable and robust results

Active Publication Date: 2017-03-08
HOHAI UNIV
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Problems solved by technology

[0005] In order to solve the technical problems raised by the above-mentioned background technology, the present invention aims to provide a multi-temporal remote sensing image change detection method based on chi-square transform combined with MRF model, which overcomes the difficulty in solving the complex background information and serious noise interference of high-spatial-resolution remote sensing images in the prior art. The problem

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  • Multi-temporal remote-sensing image change detection method by combining Chi-square transmission and MRF model
  • Multi-temporal remote-sensing image change detection method by combining Chi-square transmission and MRF model
  • Multi-temporal remote-sensing image change detection method by combining Chi-square transmission and MRF model

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[0047] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0048] Such as figure 1 As shown, the chi-square transform combined with the MRF model multi-temporal remote sensing image change detection method, the steps are as follows:

[0049] Step 1: Input two high-resolution optical remote sensing images of the same area and different time phases, denoted as: X 1 and x 2 .

[0050] Step 2: For X 1 and x 2 Image registration is divided into two steps: rough correction and fine correction:

[0051] For geometric rough correction, use the relevant functions in ENVI4.8 software to realize, the specific operation steps are:

[0052] (1) Display the reference image and the image to be corrected;

[0053] (2) Collect ground control points GCPs, GCPs should be evenly distributed in the entire image, and the number of GCPs should be at least greater than or equal to 9;

[0054](3) Calculate the mean...

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Abstract

The invention discloses a multi-temporal remote-sensing image change detection method by combining the Chi-square transmission and an MRF model. The detection method comprises steps of: inputting of multi-temporal remote-sensing images; image registration; radiation normalization correction; calculation of multi-temporal difference images; iteration CST transformation detection and inputting of the MRF model. Based on a module value of the difference images, the final change detection result is obtained. According to the invention, problems of complex background information and serious noise interference of high space resolution remote sensing images in the prior art are overcome.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a multi-temporal remote sensing image change detection method based on a chi-square transformation combined with an MRF model. Background technique [0002] With the continuous accumulation of multi-temporal high-resolution remote sensing data and the successive establishment of spatial databases, how to extract and detect change information from these remote sensing data has become an important research topic in remote sensing science and geographic information science. According to remote sensing images of different time phases in the same area, dynamic information such as cities and environments can be extracted to provide scientific decision-making basis for resource management and planning, environmental protection and other departments. my country's "Twelfth Five-Year Plan" will increase and expand the implementation of high-resolution ea...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10032
Inventor 石爱业孔伟为
Owner HOHAI UNIV