The Application of Wavelet Transform and the Adaptive Threshold Segmentation in Image Change Detection

2013 ◽  
Vol 709 ◽  
pp. 547-550
Author(s):  
Zeng He ◽  
Zhong Wei Zhang ◽  
Han Feng ◽  
Long Wang
Keyword(s):  
Change Detection ◽  
Melting Process ◽  
Remote Sensing Image ◽  
Adaptive Threshold ◽  
Land Resources ◽  
Image Binarization ◽  
Threshold Segmentation ◽  
Polyester Material ◽  
Difference Image ◽  
Image Change Detection

Change detection is widely used in various fields of the image processing, such as remote sensing image analysis for land resources. Change detection is to find out the differences between the images to get the information of the object changes by analysis the images of the different periods. In this paper, the wavelet method was conducted on the images of the polyester material before melting and melting and calculated the differences of wavelet coefficients. Then performed the wavelet inverse transform to get the wavelet difference image and conducted adaptive threshold segmentation. Finally the rate curve of melting process of polyester material was calculated by image change quantized value, which was concluded by the wavelet difference image binarization.

scholarly journals SAR image change detection based on equal weight image fusion and adaptive threshold in the NSST domain

2018 ◽  
Vol 51 (1) ◽  
pp. 785-794 ◽  
Author(s):  
Zhou Wenyan ◽  
Jia Zhenhong ◽  
Yinfeng Yu ◽  
Jie Yang ◽  
Nilola Kasabov
Keyword(s):  
Change Detection ◽  
Image Fusion ◽  
Adaptive Threshold ◽  
Equal Weight ◽  
Sar Image ◽  
Image Change Detection

scholarly journals SAR Image Change Detection Based on Multi-scale Feature Extraction

2021 ◽  
Vol 10 (4) ◽  
pp. 077-081
Author(s):  
Xiaoqian Yuan ◽  
Chao Chen ◽  
Shan Tian ◽  
Jiandan Zhong
Keyword(s):  
Feature Extraction ◽  
Change Detection ◽  
Speckle Noise ◽  
Kernel Matrix ◽  
Sar Image ◽  
Scale Feature ◽  
Difference Image ◽  
Multi Scale ◽  
Image Change Detection ◽  
The Difference

In order to improve the contrast of the difference image and reduce the interference of the speckle noise in the synthetic aperture radar (SAR) image, this paper proposes a SAR image change detection algorithm based on multi-scale feature extraction. In this paper, a kernel matrix with weights is used to extract features of two original images, and then the logarithmic ratio method is used to obtain the difference images of two images, and the change area of the images are extracted. Then, the different sizes of kernel matrix are used to extract the abstract features of different scales of the difference image. This operation can make the difference image have a higher contrast. Finally, the cumulative weighted average is obtained to obtain the final difference image, which can further suppress the speckle noise in the image.

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