Change detection in synthetic aperture radar images based on fuzzy active contour models and genetic algorithms

Mathematical Problems in Engineering

Volumn 2014, Issue , 2014, Pages

  Shi, Jiao ^a   Wu, Jiaji ^a   Paul, Anand ^b   Jiao, Licheng ^a   Gong, Maoguo ^a  

^a XIDIAN UNIVERSITY   (China)

^b Kyungpook National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; IMAGE SEGMENTATION; SIGNAL DETECTION; UNCERTAINTY ANALYSIS;

ACTIVE CONTOUR MODEL; CHANGE DETECTION MASK; INTERVAL TYPE-2 FUZZY; INTERVAL TYPE-2 FUZZY SETS; MODEL UNCERTAINTIES; MULTI-TEMPORAL SATELLITE IMAGES; PRELIMINARY ANALYSIS; UNSUPERVISED CHANGE DETECTION;

GENETIC ALGORITHMS;

EID: 84899927397     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2014/870936     Document Type: Article

References (46)

1. Inglacla J., Mercier G., A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis. IEEE Transactions on Geoscience and Remote Sensing 2007 45 5 1432 1445 2-s2.0-34247495232 10.1109/TGRS.2007.893568 (Pubitemid 46652342)
2. Marchesi S., Bovolo F., Bruzzone L., A context-sensitive technique robust to registration noise for change detection in VHR multispectral images. IEEE Transactions on Image Processing 2010 19 7 1877 1889 2-s2.0-77953718575 10.1109/TIP.2010.2045070 MR2814660
3. Robin A., Moisan L., le Hegarat-Mascle S., An a-contrario approach for subpixel change detection in satellite imagery. IEEE Transactions on Pattern Analysis and Machine Intelligence 2010 32 11 1977 1993 2-s2.0-78149285319 10.1109/TPAMI.2010.37
4. Bosc M., Heitz F., Armspach J.-P., Namer I., Gounot D., Rumbach L., Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution. NeuroImage 2003 20 2 643 656 2-s2.0-0142106326 10.1016/S1053-8119(03)00406-3 (Pubitemid 37268094)
5. Tsai D.-M., Lai S.-C., Independent component analysis-based background subtraction for indoor surveillance. IEEE Transactions on Image Processing 2009 18 1 158 167 2-s2.0-58049211805 10.1109/TIP.2008.2007558 MR2741741
6. Ho S.-S., Wechsler H., A martingale framework for detecting changes in data streams by testing exchangeability. IEEE Transactions on Pattern Analysis and Machine Intelligence 2010 32 12 2113 2127 2-s2.0-78049529489 10.1109/TPAMI.2010.48
7. Bruzzone L., Serpico S. B., An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images. IEEE Transactions on Geoscience and Remote Sensing 1997 35 4 858 867 2-s2.0-0031186955 10.1109/36.602528 (Pubitemid 127771125)
8. Hame T., Heiler I., Miguel-Ayanz J. S., An unsupervised change detection and recognition system for forestry. International Journal of Remote Sensing 1998 19 6 1079 1099 2-s2.0-0032053337
9. di Martino G., Iodice A., Riccio D., Ruello G., A novel approach for disaster monitoring: fractal models and tools. IEEE Transactions on Geoscience and Remote Sensing 2007 45 6 1559 1570 2-s2.0-34249817144 10.1109/TGRS.2006. 887024 (Pubitemid 46853270)
10. Ridd M. K., Liu J., A comparison of four algorithms for change detection in an urban environment. Remote Sensing of Environment 1998 63 2 95 100 2-s2.0-0031988679 10.1016/S0034-4257(97)00112-0 (Pubitemid 29360408)
11. Wu J., Paul A., Xing Y., Fang Y., Jeong J., Jiao L., Shi G., Morphological dilation image coding with context weights prediction. Signal Processing: Image Communication 2010 25 10 717 728 2-s2.0-78649462725 10.1016/j.image.2010.10.003
12. Kass M., Witkin A., Terzopoulos D., Snakes: active contour models. International Journal of Computer Vision 1988 1 4 321 331 2-s2.0-34250090755 10.1007/BF00133570
13. Chan T. F., Vese L. A., Active contours without edges. IEEE Transactions on Image Processing 2001 10 2 266 277 2-s2.0-0035248865 10.1109/83.902291 (Pubitemid 32254596)
14. Li C., Huang R., Ding Z., Gatenby J. C., Metaxas D. N., Gore J. C., A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI. IEEE Transactions on Image Processing 2011 20 7 2007 2016 2-s2.0-79959576791 10.1109/TIP.2011.2146190 MR2840125
15. Paul A., Wu J., Yang J.-F., Jeong J., Gradient-based edge detection for motion estimation in H.264/AVC. IET Image Processing 2011 5 4 323 327 2-s2.0-79959728308 10.1049/iet-ipr.2009.0256
16. Nguyen T. N. A., Cai J.-F., Zhang J.-Y., Zheng J.-M., Robust interactive image segmentation using convex active contours. IEEE Transactions on Image Processing 2012 21 8 3734 3743 10.1109/TIP.2012.2191566 MR2960461
17. Krinidis S., Chatzis V., Fuzzy energy-based active contours. IEEE Transactions on Image Processing 2009 18 12 2747 2755 2-s2.0-77954886171 10.1109/TIP.2009.2030468 MR2750541
18. Liu Y.-G., Yu Y.-Z., Interactive image segmentation based on level sets of probabilities. IEEE Transactions on Visualization and Computer Graphics 2012 18 2 202 213 2-s2.0-83855162158 10.1109/TVCG.2011.77
19. Li C., Xu C.-Y., Gui C.-F., Fox M. D., Distance regularized level set evolution and its application to image segmentation. IEEE Transactions on Image Processing 2010 19 12 3243 3254 2-s2.0-78649269028 10.1109/TIP.2010.2069690 MR2789710
20. Li C., Xu C., Gui C., Fox M. D., Level set evolution without re-initialization: a new variational formulation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '05) June 2005 San Diego, Calif, USA 430 436 2-s2.0-24644441054
21. Zhang K., Zhang L., Song H., Zhou W., Active contours with selective local or global segmentation: a new formulation and level set method. Image and Vision Computing 2010 28 4 668 676 2-s2.0-74749087232 10.1016/j.imavis.2009.10. 009
22. Ning J., Zhang L., Zhang D., Wu C., Interactive image segmentation by maximal similarity based region merging. Pattern Recognition 2010 43 2 445 456 2-s2.0-70349323317 10.1016/j.patcog.2009.03.004
23. Zhang K., Song H., Zhang L., Active contours driven by local image fitting energy. Pattern Recognition 2010 43 4 1199 1206 2-s2.0-74449089236 10.1016/j.patcog.2009.10.010
24. Yin G., Wang S., Jin X., Optimal slip ratio based fuzzy control of acceleration slip regulation for four-wheel independent driving electric vehicles. Mathematical Problems in Engineering 2013 2013 7 410864 10.1155/2013/410864
25. Allahviranloo T., Yager R. R., Abbasbandy S., Ulutagay G., Ranking fuzzy numbers and its extensions. Mathematical Problems in Engineering 2013 2013 1 468635 10.1155/2013/468635
26. Monteiro C., Fernandez-Jimenez L. A., Ramirez-Rosado I. J., Muñoz-Jimenez A., Lara-Santillan P. M., Short-term forecasting models for photovoltaic plants: analytical versus soft-computing techniques. Mathematical Problems in Engineering 2013 2013 9 767284 10.1155/2013/767284
27. Krinidis S., Chatzis V., A robust fuzzy local information C-means clustering algorithm. IEEE Transactions on Image Processing 2010 19 5 1328 1337 2-s2.0-77951276538 10.1109/TIP.2010.2040763 MR2723747
28. Cui W., Wang Y., Lei T., Fan Y., Feng Y., Brain MR image segmentation based on an adaptive combination of global and local fuzzy energy. Mathematical Problems in Engineering 2013 2013 10 316546 10.1155/2013/316546
29. Shyu K.-K., Pham V.-T., Tran T.-T., Lee P.-L., Global and local fuzzy energy-based active contours for image segmentation. Nonlinear Dynamics 2012 67 2 1559 1578 2-s2.0-84855807743 10.1007/s11071-011-0088-1 MR2870606 ZBL1256.94014
30. Yolcu O. C., A hybrid fuzzy time series approach based on fuzzy clustering and artificial neural network with single multiplicative neuron model. Mathematical Problems in Engineering 2013 2013 9 560472 10.1155/2013/560472
31. Pereira C. L., Bastos C. A. C. M., Ren T. I., Cavalcanti G. D. C., Fuzzy active contour models. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ '11) June 2011 Taipei, Taiwan 1621 1627 2-s2.0-80053091634 10.1109/FUZZY.2011.6007621
32. Niu X., Wang G., Liang W., Hou H., Wang H., Zhang J., Application of fuzzy set theory to quantitative analysis of correctness of the mathematical model based on the ADI method during solidification. Mathematical Problems in Engineering 2013 2013 7 894384 10.1155/2013/894384
33. Hwang C., Rhee F. C.-H., Uncertain fuzzy clustering: interval type-2 fuzzy approach to C-means. IEEE Transactions on Fuzzy Systems 2007 15 1 107 120 2-s2.0-33947430572 10.1109/TFUZZ.2006.889763 (Pubitemid 46444307)
34. Karnik N. N., Mendel J. M., Applications of type-2 fuzzy logic systems to forecasting of time-series. Information Sciences 1999 120 1 89 111 2-s2.0-0033323770 10.1016/S0020-0255(99)00067-5 (Pubitemid 30531039)
35. Liang Q., Mendel J. M., Equalization of nonlinear time-varying channels using type-2 fuzzy adaptive filters. IEEE Transactions on Fuzzy Systems 2000 8 5 551 563 2-s2.0-0034297774 10.1109/91.873578
36. Hagras H. A., A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots. IEEE Transactions on Fuzzy Systems 2004 12 4 524 539 2-s2.0-4344620181 10.1109/TFUZZ.2004.832538
37. Liang Q., Mendel J. M., MPEG VBR video traffic modeling and classification using fuzzy technique. IEEE Transactions on Fuzzy Systems 2001 9 1 183 193 2-s2.0-0035245196 10.1109/91.917124 (Pubitemid 32416237)
38. Deledalle C.-A., Denis L., Tupin F., Iterative weighted maximum likelihood denoising with probabilistic patch-based weights. IEEE Transactions on Image Processing 2009 18 12 2661 2672 2-s2.0-77649236151 10.1109/TIP.2009. 2029593 MR2724814
39. Wan H. L., Jiao L. C., Change detection in SAR images by means of grouping connected regions using clone selection algorithm. Electronics Letters 2011 47 5 338 339 2-s2.0-79957552657 10.1049/el.2010.2596
40. Celik T., Image change detection using Gaussian mixture model and genetic algorithm. Journal of Visual Communication and Image Representation 2010 21 8 965 974 2-s2.0-77958485864 10.1016/j.jvcir.2010.09.005
41. Yang D.-D., Jiao L.-C., Gong M.-G., Liu F., Artificial immune multi-objective SAR image segmentation with fused complementary features. Information Sciences 2011 181 13 2797 2812 2-s2.0-79953880755 10.1016/j.ins.2011.02.025
42. Raychaudhuri A., Khandelwal S., Chhalani S., Kakarania N., Change detection in remote sensing images using elitist genetic algorithm. International Journal of Emerging Technology and Advanced Engineering 2012 2 7 2250 2459
43. Mendel J., Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions 2001 Prentice Hall
44. Celik T., Change detection in satellite images using a genetic algorithm approach. IEEE Geoscience and Remote Sensing Letters 2010 7 2 386 390 2-s2.0-77951206556 10.1109/LGRS.2009.2037024
45. Otsu N., A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics 1979 9 1 62 66 2-s2.0-0018306059 (Pubitemid 9413341)
46. Rosin P. L., Ioannidis E., Evaluation of global image thresholding for change detection. Pattern Recognition Letters 2003 24 14 2345 2356 2-s2.0-0042842434 10.1016/S0167-8655(03)00060-6 (Pubitemid 36911078)