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SAR remote sensing image change detection method based on wavelet transform and SVM

A remote sensing image, wavelet transform technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as unsatisfactory detection results

Inactive Publication Date: 2016-04-27
HOHAI UNIV
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  • Application Information

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Problems solved by technology

The unsupervised method is mature, simple and easy to operate, but the detection effect is not ideal

Method used

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  • SAR remote sensing image change detection method based on wavelet transform and SVM
  • SAR remote sensing image change detection method based on wavelet transform and SVM
  • SAR remote sensing image change detection method based on wavelet transform and SVM

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0051] refer to figure 1 , the implementation steps of the present invention are as follows:

[0052] Step 1) Input two SAR remote sensing images of the same area and different time phases, respectively denoted as: I 1 and I 2 .

[0053] Step 2) utilize ENVI remote sensing software to I 1 and I 2 To perform geometric correction, the specific steps are as follows:

[0054] 21) Display the reference image and the image to be corrected.

[0055] 22) Start the geometry correction module.

[0056] 23) Collect ground control points GCPs.

[0057] 24) Select the calibration parameter to output the result.

[0058] 25) Check the calibration result.

[0059] Step 3) I after geometry correction...

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Abstract

The present invention discloses an SAR remote sensing image change detection method based on wavelet transform and an SVM. The method is characterized in that firstly, the logarithmic ratio image and a mean value ratio image of two time phase remote images are carried out, then stationary wavelet transform is used to fuse the logarithmic ratio image and the mean value ratio image to form a difference image, and finally the bipartition (a change class and a non-change class) of the difference image is carried out through a progressive direct push SVM to obtain a final change detection result. The method can be used to solve the problems of poor detection precision and poor anti-noise performance of multi-time-phase SAR remote sensing image change detection, the speckle noise in the SAR remote sensing image is effectively inhibited, and the problems of low precision and narrow application range of single type of difference image detection are solved.

Description

technical field [0001] The invention relates to a SAR remote sensing image change detection method based on wavelet transform and SVM, and belongs to the technical field of multi-temporal SAR remote sensing image change detection. Background technique [0002] Remote sensing image change detection refers to the comparison and analysis of remote sensing images in different time periods in the same geographical area to obtain the change information of the ground objects in the area during this period. In recent years, remote sensing image transformation detection technology has been widely used in many fields, such as environmental monitoring, agricultural research, urban change investigation, forest vegetation change monitoring, etc. [0003] Synthetic Aperture Radar (SAR) has the characteristics of high resolution, all-weather, and all-time, and can easily obtain images of the same area at different times. However, the inherent coherent speckle noise of SAR images seriously...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V2201/07G06F18/251G06F18/2411
Inventor 石爱业储艳丽
Owner HOHAI UNIV
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