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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, Guangxue Huang, Xiaotao Zhou, Zhimin An, Daoxiang |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha, China (Wang, Guangxue; Huang, Xiaotao; Zhou, Zhimin; An, Daoxiang) |
| Abstract | Due to its all-weather all-time characteristics, detecting changes in land cover through time using synthetic aperture radar (SAR) images is one of the most appealing applications of remote sensing technology. And there are many SAR image change detection algorithms have been proposed. Among them, the methods based on texture feature have received more and more attention, because they can depress the effect of SAR image speckle noise. In this paper, we present a new texture feature change detection algorithm for SAR image. With the help of direction filter bank, we first decompose each original SAR image into four direction subband images. Then, we extract the texture feature by computing fractal dimension of each pixel neighborhood in each subband images. Finally, the change area is detected by comparing texture features of two times SAR images. Experimental results reveal that the proposed approach can get better performance than the widely used gray-level coocurrence matrix (GLCM) method. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 629275 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457713514 |
| e-ISBN | 9788993246179 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-26 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | KIEES |
| Subject Keyword | Filter banks SAR images Radar imaging Feature extraction Finite impulse response filter texture feature change detection Fractals Detection algorithms Synthetic aperture radar |
| Content Type | Text |
| Resource Type | Article |
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