Opto-Electronic Engineering, Volume. 37, Issue 5, 104(2010)
A New Algorithm Based on Graph Cuts for SAR Image Segmentation
[1] [1] JIAO Li-cheng,ZHANG Xiang-rong,HOU Biao,et al. Intelligent SAR image processing and interpretation [M]. Beijing: Science Press,2008.
[2] [2] Roger Fjortoft,Yves Delignon,Wojciech Pieczynski,et al. Unsupervised Classification of Radar Images Using Hidden Markov Chains and Hidden Markov Random Fields [J]. IEEE Transaction on Geoscience and Remote Sensing(S0196-2892),2003, 41(3):675-686.
[3] [3] Richard Szeliski,Ramin Zabin,Daniel Scharstein,et al. A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence(S0162-8828),2008,30(6):1068-1080.
[4] [4] Yuri Boykov,Olga Veksler,Ramin Zabih. Fast Approximate Energy Minimization via Graph Cuts [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2001,23(11):1222-1239.
[5] [5] XIA Gui-song,HE Chu,SUN Hong. A Segmentation method of SAR Image Based on Non-parametric Density Estimate and Markovian Contexture [J]. Journal of electronics & information technology,2006,8(12):2209-2213.
[6] [6] Yuri Boykov,Vladimir Kolmogorov. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2004,26(9):1124-1137.
Get Citation
Copy Citation Text
CHEN Hua-jie, WU Xiang-wei, XUE An-ke. A New Algorithm Based on Graph Cuts for SAR Image Segmentation[J]. Opto-Electronic Engineering, 2010, 37(5): 104
Category:
Received: Nov. 6, 2009
Accepted: --
Published Online: Sep. 7, 2010
The Author Email: Hua-jie CHEN (chj247@hdu.edu.cn)
CSTR:32186.14.