تقرير
Recognition of Changes in SAR Images Based on Gauss-Log Ratio and MRFFCM
| العنوان: | Recognition of Changes in SAR Images Based on Gauss-Log Ratio and MRFFCM |
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| المؤلفون: | Alphonse, Jismy, G., Biju V. |
| سنة النشر: | 2015 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | A modified version of MRFFCM (Markov Random Field Fuzzy C means) based SAR (Synthetic aperture Radar) image change detection method is proposed in this paper. It involves three steps: Difference Image (DI) generation by using Gauss-log ratio operator, speckle noise reduction by SRAD (Speckle Reducing Anisotropic Diffusion), and the detection of changed regions by using MRFFCM. The proposed method is compared with existing methods such as FCM and MRFFCM using simulated and real SAR images. The measures used for evaluation includes Overall Error (OE), Percentage Correct Classification (PCC), Kappa Coefficient (KC), Root Mean Square Error (RMSE), and Peak Signal to Noise Ratio (PSNR). The results show that the proposed method is better compared to FCM and MRFFCM based change detection method. Comment: 7 pages, 7 figures, 2 tables in International Journal of advanced studies in Computer Science and Engineering (IJASCSE), ISSN : 2278 7917, Volume 4 Issue 5, 2015, www.ijascse.org |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1506.01398 |
| رقم الأكسشن: | edsarx.1506.01398 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |