An integrated ship segmentation method based on discriminator and extractor

doi:10.1016/j.imavis.2019.11.002

	An integrated ship segmentation method based on discriminator and extractor
	Zhang, Wen 2; He, Xujie 2; Li, Wanyi 1; Zhang, Zhi 2; Luo, Yongkang 1; Su, Li 2; Wang, Peng 1
刊名	IMAGE AND VISION COMPUTING
	2020
卷号	93 页码:12
关键词	Ship segmentation Sea fog Classification Interference Factor Discriminator Ship extractor
ISSN号	0262-8856
DOI	10.1016/j.imavis.2019.11.002
通讯作者	He, Xujie(hexujie@hrbeu.edu.cn)
英文摘要	Ship segmentation is an important task in maritime surveillance systems. A great deal of research on image segmentation has been done in the past few years, but there appears to be some problems when directly utilizing them for ship segmentation under complex maritime background. The interference factors decreasing segmentation performance usually are from the peculiarity of complex maritime background, such as the existence of sea fog, large wakes and large waves. To deal with these interference factors, this paper presents an integrated ship segmentation method based on discriminator and extractor (ISDE). Different from traditional segmentation methods, our method consists of two components in light of the structure: Interference Factor Discriminator (IFD) and Ship Extractor (SE). SqueezeNet is employed for the implementation of IFD as the first step to make a judgment on what interference factors are contained in the input image. While DeepLabv3 + and improved DeepLabv3 + are employed for the implementation of SE as the second step to finally extract ships. We collect a ship segmentation dataset and conduct intensive experiments on it. The experimental results demonstrate that our method for ship segmentation outperforms state-of-the-art methods in terms of segmentation accuracy, especially for the images contain sea fog. Besides our method can run in real time as well. (C) 2019 Elsevier B.V. All rights reserved.
资助项目	National Key R&D Program Projects[2018YEB1601502]
WOS关键词	RECONSTRUCTION
WOS研究方向	Computer Science ; Engineering ; Optics
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000514016000011
资助机构	National Key R&D Program Projects
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/38420]
专题	智能机器人系统研究
通讯作者	He, Xujie
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Harbin Engn Univ China, Coll Automat, Harbin 150001, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Wen,He, Xujie,Li, Wanyi,et al. An integrated ship segmentation method based on discriminator and extractor[J]. IMAGE AND VISION COMPUTING,2020,93:12.
APA	Zhang, Wen.,He, Xujie.,Li, Wanyi.,Zhang, Zhi.,Luo, Yongkang.,...&Wang, Peng.(2020).An integrated ship segmentation method based on discriminator and extractor.IMAGE AND VISION COMPUTING,93,12.
MLA	Zhang, Wen,et al."An integrated ship segmentation method based on discriminator and extractor".IMAGE AND VISION COMPUTING 93(2020):12.