Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation

Yin Zhuang; He Chen; Haotian Zhou; Liang Chen; Fukun Bi

doi:10.1109/IGARSS.2018.8519112

Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation

Yin Zhuang, He Chen^*, Haotian Zhou, Liang Chen, Fukun Bi

^*此作品的通讯作者

信息与电子学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Inshore ship detection from high-resolution (HR) optical satellite images is a hot research field. However, HR ships multi-scale and multi-orientation characters and harbor scene various interferences affect docked ship detection performance. Therefore, we proposed a multi-orientations sparse dictionaries (MOSDs) algorithm combining with comprehensive structure voting (CSV) to address existed problem and achieve refined docked ship contour region proposal (RP). Moreover, the comparing experiments use a lot of Google Earth harbour images to demonstrate proposed method effectiveness and robustness of HR ships multi-scale and –orientation changing and various harbour background interferences of docked ship detection.

源语言	英语
主期刊名	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
出版商	Institute of Electrical and Electronics Engineers Inc.
页	733-736
页数	4
ISBN（电子版）	9781538671504
DOI	https://doi.org/10.1109/IGARSS.2018.8519112
出版状态	已出版 - 31 10月 2018
活动	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, 西班牙期限: 22 7月 2018 → 27 7月 2018

出版系列

姓名	International Geoscience and Remote Sensing Symposium (IGARSS)
卷	2018-July

会议

会议	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
国家/地区	西班牙
市	Valencia
时期	22/07/18 → 27/07/18

访问文件

10.1109/IGARSS.2018.8519112

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhuang, Y., Chen, H., Zhou, H., Chen, L., & Bi, F. (2018). Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation. 在 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (页码 733-736). 文章 8519112 (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2018.8519112

Zhuang, Yin ; Chen, He ; Zhou, Haotian 等. / Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation. 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 页码 733-736 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{89ae66802abe4f108c7e7072902d1647,

title = "Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation",

abstract = "Inshore ship detection from high-resolution (HR) optical satellite images is a hot research field. However, HR ships multi-scale and multi-orientation characters and harbor scene various interferences affect docked ship detection performance. Therefore, we proposed a multi-orientations sparse dictionaries (MOSDs) algorithm combining with comprehensive structure voting (CSV) to address existed problem and achieve refined docked ship contour region proposal (RP). Moreover, the comparing experiments use a lot of Google Earth harbour images to demonstrate proposed method effectiveness and robustness of HR ships multi-scale and –orientation changing and various harbour background interferences of docked ship detection.",

keywords = "Combined multi-orientation sparse dictionaries, Comprehensive structure voting, High-resolution, Inshore ship detection, Optical satellite image",

author = "Yin Zhuang and He Chen and Haotian Zhou and Liang Chen and Fukun Bi",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

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Zhuang, Y, Chen, H, Zhou, H, Chen, L & Bi, F 2018, Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation. 在 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8519112, International Geoscience and Remote Sensing Symposium (IGARSS), 卷 2018-July, Institute of Electrical and Electronics Engineers Inc., 页码 733-736, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, 西班牙, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8519112

Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation. / Zhuang, Yin; Chen, He; Zhou, Haotian 等.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 页码 733-736 8519112 (International Geoscience and Remote Sensing Symposium (IGARSS); 卷 2018-July).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation

AU - Zhuang, Yin

AU - Chen, He

AU - Zhou, Haotian

AU - Chen, Liang

AU - Bi, Fukun

PY - 2018/10/31

Y1 - 2018/10/31

N2 - Inshore ship detection from high-resolution (HR) optical satellite images is a hot research field. However, HR ships multi-scale and multi-orientation characters and harbor scene various interferences affect docked ship detection performance. Therefore, we proposed a multi-orientations sparse dictionaries (MOSDs) algorithm combining with comprehensive structure voting (CSV) to address existed problem and achieve refined docked ship contour region proposal (RP). Moreover, the comparing experiments use a lot of Google Earth harbour images to demonstrate proposed method effectiveness and robustness of HR ships multi-scale and –orientation changing and various harbour background interferences of docked ship detection.

AB - Inshore ship detection from high-resolution (HR) optical satellite images is a hot research field. However, HR ships multi-scale and multi-orientation characters and harbor scene various interferences affect docked ship detection performance. Therefore, we proposed a multi-orientations sparse dictionaries (MOSDs) algorithm combining with comprehensive structure voting (CSV) to address existed problem and achieve refined docked ship contour region proposal (RP). Moreover, the comparing experiments use a lot of Google Earth harbour images to demonstrate proposed method effectiveness and robustness of HR ships multi-scale and –orientation changing and various harbour background interferences of docked ship detection.

KW - Combined multi-orientation sparse dictionaries

KW - Comprehensive structure voting

KW - High-resolution

KW - Inshore ship detection

KW - Optical satellite image

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U2 - 10.1109/IGARSS.2018.8519112

DO - 10.1109/IGARSS.2018.8519112

M3 - Conference contribution

AN - SCOPUS:85064213390

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 733

EP - 736

BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

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Zhuang Y, Chen H, Zhou H, Chen L, Bi F. Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation. 在 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 页码 733-736. 8519112. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8519112

Comprehensive structure voting docked ship detection from high-resolution optical satellite images based on combined multi-orientation sparse representation

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