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Change Detection Method of Remote Sensing Image Based on Treelet Transformation and Feature Fusion

A remote sensing image and change detection technology, applied in the field of image processing, can solve problems such as reducing the accuracy of remote sensing image change detection, and achieve the effects of improving the accuracy of change detection, reducing missed detection information, and overcoming greater time complexity.

Inactive Publication Date: 2011-12-21
XIDIAN UNIV
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Problems solved by technology

Although this method can better maintain the edge information of the changing area and has less missed detection information, it still has the disadvantage that the method fuses logic and operations. In order to obtain more comprehensive change information, there are More false alarm information reduces the accuracy of remote sensing image change detection, and it is difficult to take into account the missed detection information and false alarm information in the change detection results

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  • Change Detection Method of Remote Sensing Image Based on Treelet Transformation and Feature Fusion
  • Change Detection Method of Remote Sensing Image Based on Treelet Transformation and Feature Fusion
  • Change Detection Method of Remote Sensing Image Based on Treelet Transformation and Feature Fusion

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Embodiment Construction

[0056] Attached below figure 1 The steps of the present invention are further described in detail.

[0057] Step 1, read in two remote sensing images acquired at different times in the same area.

[0058] Step 2, median filtering.

[0059] 2a) Determine the square window: select a remote sensing image in step 1, take a certain pixel in the image as the center, and select an N 1 ×N 1 The square window of , where, N 1 is an odd number, a 3×3 square window is selected in this embodiment of the present invention.

[0060] 2b) Determine the filter value: Arrange the gray values ​​of all pixels in the square window in descending order to form a gray sequence, and select the gray value in the middle of the gray sequence as the filter value.

[0061] 2c) Filtering: replace the grayscale value of the pixel in step 2a) with the filtered value.

[0062] 2d) Step 2a) to step 2c) are repeated until all pixels in the image are processed.

[0063] 2e) According to step 2a) to step 2d)...

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Abstract

The invention discloses a method for detecting the change of a remote sensing image based on Treelet transformation and characteristic fusion. The method comprises the following steps of: (1) reading data; (2) filtering median; (3) constructing a difference image; (4) classifying; (5) judging whether a standard difference of the difference image is smaller than a prior threshold value; (6) filling adaptive space information; (7) performing Treelet fuzzy fusion; (8) constructing a fuzzy difference image; (9) performing K-means classification; (10) performing mathematical morphology post-processing; and (11) performing characteristics and operation. The invention has the advantages that: the edge information of a change area can be better kept; detection-missing information and false-alarm information in a change detection result can be better considered; and the method has better real-time property and higher detection accuracy and can be applied to the fields of dynamic detection of lake water level in environmental change, dynamic detection of the growth state of crops, military reconnaissance and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a remote sensing image change detection method based on Treelet transformation and feature fusion. This method can be applied to the dynamic monitoring of lake water level in environmental changes, the dynamic monitoring of crop growth status, military reconnaissance and other fields, and can quickly detect the change information of two-temporal remote sensing images. Background technique [0002] Change detection is to detect the change information of the ground objects in the area over time by analyzing multiple remote sensing images in the same area at different times. With the development of remote sensing technology and information technology, multi-temporal remote sensing image change detection has become an important direction of current remote sensing image analysis research. [0003] In the research of multi-temporal remote sensing image change detection ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 王桂婷焦李成万义萍公茂果钟桦张小华田小林侯彪王爽
Owner XIDIAN UNIV
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