@inproceedings{d625dd3a69bb4bf2a55baa53ce2ee046,
title = "SAR image segmentation using GHM-based Dirichlet process mixture models",
abstract = "This paper proposes a robust SAR image segmentation scheme for SAR images with speckle noise. Our method can simulate the intrinsic property of SAR image by the proposed infinite mixture model Dirichlet process mixture model and determine the cluster number automatically. The Gaussian-Hermite moment is applied to extract features to improve the robust of segmentation and reduce the influence of speckle noise. The effectiveness of proposed method is demonstrated via experiments with the simulated data and real data.",
author = "Li Sun and Yanning Zhang and Guangjian Tian and Miao Ma",
year = "2009",
doi = "10.1109/CSO.2009.371",
language = "英语",
isbn = "9780769536057",
series = "Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009",
pages = "886--888",
booktitle = "Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009",
note = "2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 ; Conference date: 24-04-2009 Through 26-04-2009",
}