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SAR image segmentation based on BMFCM

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

SAR image segmentation is the pre-process for SAR image application. This paper presents a new SAR image segmentation algorithm combining both the the bias field and Markov random field(MRF) characteristic with fuzzy clustering model(FCM) called BMFCM. The MRF characteristic of an image includes the spatial information of the image and the bias filed estimation is introduced to deal with the grey intensity inhomogeneity in SAR image. Considering the specific features of SAR images, the experiment results on real SAR images demonstrate the validation of the proposed algorithm.

源语言英语
主期刊名2017 IEEE International Geoscience and Remote Sensing Symposium
主期刊副标题International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
1764-1767
页数4
ISBN(电子版)9781509049516
DOI
出版状态已出版 - 1 12月 2017
活动37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, 美国
期限: 23 7月 201728 7月 2017

出版系列

姓名International Geoscience and Remote Sensing Symposium (IGARSS)
2017-July

会议

会议37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
国家/地区美国
Fort Worth
时期23/07/1728/07/17

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