Change detection on SAR images by a parametric estimation of the KL-divergence between Gaussian Mixture Models

2013 ◽  
Author(s):  
Qian Xu ◽  
Lina J. Karam
Keyword(s):  
Change Detection ◽  
Mixture Models ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Parametric Estimation ◽  
Sar Images ◽  
Kl Divergence

scholarly journals Efficient Speaker Change Detection Using Adapted Gaussian Mixture Models

2007 ◽  
Vol 15 (6) ◽  
pp. 1859-1869 ◽  
Author(s):  
Amit S. Malegaonkar ◽  
Aladdin M. Ariyaeeinia ◽  
Perasiriyan Sivakumaran
Keyword(s):  
Change Detection ◽  
Mixture Models ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Speaker Change Detection

scholarly journals UNSUPERVISED CHANGE DETECTION IN SAR IMAGES USING GAUSSIAN MIXTURE MODELS

2015 ◽  
Vol XL-1-W5 ◽  
pp. 407-410 ◽  
Author(s):  
E. Kiana ◽  
S. Homayouni ◽  
M. A. Sharifi ◽  
M. Farid-Rohani
Keyword(s):  
Change Detection ◽  
Gaussian Mixture Models ◽  
Speckle Noise ◽  
Gaussian Mixture ◽  
Sar Images ◽  
Difference Image ◽  
Negative Change ◽  
Aerial Vehicle ◽  
The Difference ◽  
Speckle Filtering

In this paper, we propose a method for unsupervised change detection in Remote Sensing Synthetic Aperture Radar (SAR) images. This method is based on the mixture modelling of the histogram of difference image. In this process, the difference image is classified into three classes; negative change class, positive change class and no change class. However the SAR images suffer from speckle noise, the proposed method is able to map the changes without speckle filtering. To evaluate the performance of this method, two dates of SAR data acquired by Uninhabited Aerial Vehicle Synthetic from an agriculture area are used. Change detection results show better efficiency when compared to the state-of-the-art methods.

A robust non-rigid point set registration method based on inhomogeneous Gaussian mixture models

2017 ◽  
Vol 34 (10) ◽  
pp. 1399-1414 ◽  
Author(s):  
Wanxia Deng ◽  
Huanxin Zou ◽  
Fang Guo ◽  
Lin Lei ◽  
Shilin Zhou ◽  
...  
Keyword(s):  
Mixture Models ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Registration Method ◽  
Point Set Registration ◽  
Point Set
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