A novel watershed segmentation method for SAR image

Jinjing Shen; Long Ma; Liang Chen; He Chen; Ying Yu

A novel watershed segmentation method for SAR image

Jinjing Shen, Long Ma, Liang Chen^*, He Chen, Ying Yu

^*此作品的通讯作者

信息与电子学院

科研成果: 会议稿件 › 论文 › 同行评审

1 引用（Scopus）

摘要

This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental results show that our proposed method outperforms the conventional methods in both accuracy and time consuming.

源语言	英语
出版状态	已出版 - 2015
活动	IET International Radar Conference 2015 - Hangzhou, 中国期限: 14 10月 2015 → 16 10月 2015

会议

会议	IET International Radar Conference 2015
国家/地区	中国
市	Hangzhou
时期	14/10/15 → 16/10/15

其它文件与链接

链接到 Scopus 的出版物

引用此

Shen, J., Ma, L., Chen, L., Chen, H., & Yu, Y. (2015). A novel watershed segmentation method for SAR image. 论文发表于 IET International Radar Conference 2015, Hangzhou, 中国.

@conference{61ab903422d74f2e8d89ba73d7406b8e,

title = "A novel watershed segmentation method for SAR image",

abstract = "This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental results show that our proposed method outperforms the conventional methods in both accuracy and time consuming.",

keywords = "Context analysis, Otsu method, SAR image, Statistical characteristic, Watershed segmentation",

author = "Jinjing Shen and Long Ma and Liang Chen and He Chen and Ying Yu",

year = "2015",

language = "English",

note = "IET International Radar Conference 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

}

TY - CONF

T1 - A novel watershed segmentation method for SAR image

AU - Shen, Jinjing

AU - Ma, Long

AU - Chen, Liang

AU - Chen, He

AU - Yu, Ying

PY - 2015

Y1 - 2015

N2 - This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental results show that our proposed method outperforms the conventional methods in both accuracy and time consuming.

AB - This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental results show that our proposed method outperforms the conventional methods in both accuracy and time consuming.

KW - Context analysis

KW - Otsu method

KW - SAR image

KW - Statistical characteristic

KW - Watershed segmentation

UR - http://www.scopus.com/inward/record.url?scp=84973573390&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84973573390

T2 - IET International Radar Conference 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

A novel watershed segmentation method for SAR image

摘要

会议

其它文件与链接

指纹

引用此