Method for detecting change of SAR images based on neighborhood similarity and double-window filtering

An image change detection and similarity technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of insufficient detection error rate

An image change detection and similarity technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of insufficient detection error rate

CN102081799BInactive Publication Date: 2012-12-12XIDIAN UNIV
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  • Method for detecting change of SAR images based on neighborhood similarity and double-window filtering
  • Method for detecting change of SAR images based on neighborhood similarity and double-window filtering
  • Method for detecting change of SAR images based on neighborhood similarity and double-window filtering

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Embodiment Construction

[0045] as attached figure 1, the present invention comprises the following steps:

[0046] Step 1: Perform geometric correction and registration on two SAR images A and B in the same area at different times;

[0047] Step 2: According to the neighborhood similarity method, construct the difference image map DI of images A and B according to the following steps;

[0048] 2a) Obtain the pixel gray value neighborhood set N of the two-temporal SAR images A and B at the same position i 1 (i) and N 2 (i), whose size is N×N, N ∈ {3, 5, 7, 9};

[0049] 2b) Compare two neighborhood sets N 1 (i) and N 2 (i) to obtain the pixel gray value DI(i) of the difference image DI at position i:

[0050] DI ( i ) = min ( N 1 ( i ) ...

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Abstract

The invention discloses a method for detecting the change of synthetic aperture radar (SAR) images based on neighborhood similarity and double-window filtering, and belongs to the field of change detection of the SAR images. The method comprises the following steps of: firstly, performing geometric correction and registration on two SAR images at different time in the same area; secondly, constructing a difference image graph by neighborhood similarity, and processing the difference image graph by double-window filtering; and finally, performing threshold processing on the filtered differenceimage graph by a maximum between-class variance (Ostu) threshold method to acquire a change detection result graph. By the change detection method based on the neighborhood similarity and the double-window filtering, the problem that the structure of the difference graph is severely influenced by speckle noise of the SAR images during the detection of the change of the SAR images is solved, so that change detection accuracy is improved.

Description

technical field [0001] The invention relates to the field of SAR image change detection, and relates to a method for constructing SAR image difference maps of different time phases. The method can be used to solve the problem of low detection accuracy in the field of SAR image change detection, and is suitable for improving the accuracy of SAR image change detection for various complex SAR images. Background technique [0002] SAR image change detection is a technique to qualitatively or quantitatively analyze and determine the characteristics and processes of surface changes from multi-temporal remote sensing images of the same geographical area acquired at different times. Because compared with the optical remote sensing system, the SAR system has the ability to acquire data around the clock, so the SAR image change detection technology is widely used in various fields, such as environmental monitoring, agricultural research, urban area research, forest monitoring, etc. ....

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Application Information

Patent Timeline
12 Dec 2012
Publication
CN102081799B
IPC
G06T7/00; G06T5/00; G06T7/11; G06T7/136
Inventors
焦李成; 公茂果