G0分布中链码网格SAR图像分割算法

doi:10.3969/j.issn.1001-2400.2015.05.009

J4 ›› 2015, Vol. 42 ›› Issue (5): 48-54.doi: 10.3969/j.issn.1001-2400.2015.05.009

G⁰分布中链码网格SAR图像分割算法

张泽均;水鹏朗

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2014-05-31 出版日期:2015-10-20 发布日期:2015-12-03
通讯作者: 张泽均
作者简介:张泽均(1984-)，男，西安电子科技大学博士研究生，E-mail：zjzhang_xd@163.com．
基金资助:
国家自然科学基金资助项目(61271295)

SAR images segmentation algorithm using chain coding grid in G⁰ distribution

ZHANG Zejun;SHUI Penglang

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)

Received:2014-05-31 Online:2015-10-20 Published:2015-12-03
Contact: ZHANG Zejun

摘要/Abstract

摘要：

为了降低合成孔径雷达(SAR)图像场景复杂度对SAR图像分割结果的影响，提出一种基于最短描述长度(MDL)准则的自适应权值SAR图像分割模型．该模型利用G⁰分布描述SAR图像数据，用链码网格对SAR图像中区域的边缘进行编码．提出一种利用SAR图像数据自适应地估计分割模型权值的方法．利用区域合并技术实现SAR图像分割模型快速最小化．实验结果表明，与两种同类方法相比，文中方法有效地减轻了纹理区域的过分割程度．

关键词: 合成孔径雷达图像分割, G⁰分布, 链码网格, 区域合并技术

Abstract:

An adaptive weighted synthetic aperture radar(SAR) images segmentation model is proposed based on the minimum description length(MDL) principle to alleviate the influence of complexity of the SAR images' scene on segmentation results. In the model, G⁰ distribution is used for describing SAR image data, and the 4-neighborhood chain coding grid is utilized for coding boundaries of regions in the SAR image. An adaptive estimation method for the weight of the segmentation model is proposed using the SAR image data. The segmentation model is fast minimized by using region merging technology. Experimental results show that, compared with two methods of the same kind, the proposed method effectively alleviates the degree of over-segmentation in texture fields.

Key words: synthetic aperture radar(SAR) image segmentation, G⁰ distribution, chain coding grid, region merging technique

中图分类号:

TP751.1

张泽均;水鹏朗. G⁰分布中链码网格SAR图像分割算法[J]. J4, 2015, 42(5): 48-54.

ZHANG Zejun;SHUI Penglang. SAR images segmentation algorithm using chain coding grid in G⁰ distribution[J]. J4, 2015, 42(5): 48-54.

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G⁰分布中链码网格SAR图像分割算法

SAR images segmentation algorithm using chain coding grid in G⁰ distribution

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