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Remote sensing image change detection method based on saliency measurement

A remote sensing image and change detection technology, applied in the field of image processing, can solve the problems of unsatisfactory detection results and high false alarm rate, and achieve the effect of reducing false change information, suppressing false alarms, and improving overall accuracy

Inactive Publication Date: 2012-08-08
XIDIAN UNIV
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Problems solved by technology

This method works well for low-contrast images, but when the image contrast is high, the detection results are not ideal and the false alarm rate is high.

Method used

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  • Remote sensing image change detection method based on saliency measurement
  • Remote sensing image change detection method based on saliency measurement
  • Remote sensing image change detection method based on saliency measurement

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Embodiment Construction

[0023] refer to figure 1 , the implementation steps of the present invention are as follows:

[0024] Step 1, for the input two registered two-temporal remote sensing images I 1 and I 2 , such as 2(a) and figure 2 As shown in (b), the median filter with a window size of 5×5 is performed respectively to obtain the filtered image X 1 and x 2 .

[0025] Step 2, for the filtered image X 1 and x 2 Make a difference to get the grayscale difference map D1;

[0026] D1=|X 1 -X 2 |.

[0027] Step 3, calculate the filtered image X 1 and x 2 Difference map D2 based on Chi-square distance:

[0028] D 2 = D 2 ( 1,1 ) D 2 ( 1,2 ) ...

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Abstract

The invention discloses a remote sensing image change detection method based on saliency measurement. Using the current change detection method is easily influenced by noise interference so that a false alarm rate is high in a detection result. The method of the invention mainly aims at solving the above problem. The method is characterized by: inputting two time phase remote sensing images; firstly, carry out median filtering on each image respectively so as to obtain two filtered time phase images; then calculating a gray scale difference graph of the two filtered time phase images and a difference graph based on a Chi-square distance respectively, carrying out saliency measurement on the gray scale difference graph so as to obtain one saliency map; and then, carrying out fuzzy c-means segmentation on the difference graph based on the Chi-square distance and the saliency map respectively; finally, correcting a segmentation result of the saliency map so as to generate a final change detection result. An experiment result shows that by using the method of the invention, noise interference can be effectively restrained and precision of the detection result can be increased. The method of the invention can be used in fields of natural disasters analyses, city program constructions and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to a remote sensing image change detection method based on a saliency measure, which can be applied to many fields such as natural disaster detection, urban planning and construction, and road monitoring. Background technique [0002] Change detection in remote sensing images refers to the use of multi-temporal remote sensing images that cover the same land surface area to determine and analyze land surface changes. Since remote sensing technology is one of the most important technical means of change detection, change detection has become a hot issue in the research of remote sensing application methods. It is widely used in many fields such as natural disaster assessment, urban planning and construction, road detection, water system detection and environmental protection. [0003] Among the current change detection algorithms, the method of using the character...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
Inventor 王桂婷焦李成张敏钟桦田小林张小华公茂果王爽
Owner XIDIAN UNIV
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