TY - GEN
T1 - SAR image segmentation method using DP mixture models
AU - Li, Sun
AU - Yanning, Zhang
AU - Miao, Ma
AU - Guangjian, Tian
PY - 2008
Y1 - 2008
N2 - This paper presents a new method for segmentation of Synthetic Aperture Radar (SAR) images. Based on a nonparametric Bayesian infinite mixture model, Drichlet process mixture model cluster method is proposed to segment SAR image. The traditional finite mixture model segmentation method is adapted extensively in SAR image segmentation, but the performance and the robustness is not good enough. However, the proposed infinite mixture model can simulate the intrinsic property of SAR image and the segmentation method can determine the cluster number automatically. The experiment results on the simulated data and real data show that the proposed method gets comparative performance and robustness with the traditional methods.
AB - This paper presents a new method for segmentation of Synthetic Aperture Radar (SAR) images. Based on a nonparametric Bayesian infinite mixture model, Drichlet process mixture model cluster method is proposed to segment SAR image. The traditional finite mixture model segmentation method is adapted extensively in SAR image segmentation, but the performance and the robustness is not good enough. However, the proposed infinite mixture model can simulate the intrinsic property of SAR image and the segmentation method can determine the cluster number automatically. The experiment results on the simulated data and real data show that the proposed method gets comparative performance and robustness with the traditional methods.
KW - Dirichlet process mixture model
KW - Infinite mixture model
KW - Non-parametric Bayesian model
KW - SAR image segmentation
UR - https://www.scopus.com/pages/publications/62449120752
U2 - 10.1109/iscsct.2008.20
DO - 10.1109/iscsct.2008.20
M3 - 会议稿件
AN - SCOPUS:62449120752
SN - 9780769534985
T3 - Proceedings - International Symposium on Computer Science and Computational Technology, ISCSCT 2008
SP - 598
EP - 601
BT - Proceedings - International Symposium on Computer Science and Computational Technology, ISCSCT 2008
PB - IEEE Computer Society
T2 - International Symposium on Computer Science and Computational Technology, ISCSCT 2008
Y2 - 20 December 2008 through 22 December 2008
ER -