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

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

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.

Original language	English
Publication status	Published - 2015
Event	IET International Radar Conference 2015 - Hangzhou, China Duration: 14 Oct 2015 → 16 Oct 2015

Conference

Conference	IET International Radar Conference 2015
Country/Territory	China
City	Hangzhou
Period	14/10/15 → 16/10/15

Keywords

Context analysis
Otsu method
SAR image
Statistical characteristic
Watershed segmentation

Cite this

@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

Abstract

Conference

Keywords

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