Real-Time Ship detection from Infrared Images Through Multi-feature Fusion

Rui Miao; Hongxu Jiang; Fangzheng Tian; Xiaobin Li; Yonghua Zhang; Dong Dong

doi:10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079

Real-Time Ship detection from Infrared Images Through Multi-feature Fusion

Rui Miao
, Hongxu Jiang
, Fangzheng Tian
, Xiaobin Li
, Yonghua Zhang
, Dong Dong

计算机学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

Real-time ship detection from remote sensing imagery it is a great challenge due to the complex scene, the changeable characteristics of ship target, and the uncontrollable interference factors. In this letter, an infrared ship detection algorithm based on multi-feature fusion is proposed. Based on the fully analysis of the target features, the proposed algorithm combines the cascade rejection mechanism with multi-features through a cascade linear classifier from simple to complex, and uses fine features to accurately distinguish the target from the complex background. Large number of experimental results show that the proposed method can achieve better results in detection performance and real-time processing.

源语言	英语
主期刊名	19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021
出版商	Institute of Electrical and Electronics Engineers Inc.
页	533-538
页数	6
ISBN（电子版）	9781665435741
DOI	https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079
出版状态	已出版 - 2021
活动	19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021 - New York, 美国期限: 30 9月 2021 → 3 10月 2021

出版系列

姓名	19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021

会议

会议	19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021
国家/地区	美国
市	New York
时期	30/09/21 → 3/10/21

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079

其它文件与链接

链接到 Scopus 的出版物

引用此

Miao, R., Jiang, H., Tian, F., Li, X., Zhang, Y., & Dong, D. (2021). Real-Time Ship detection from Infrared Images Through Multi-feature Fusion. 在 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021 (页码 533-538). (19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079

Miao, Rui ; Jiang, Hongxu ; Tian, Fangzheng 等. / Real-Time Ship detection from Infrared Images Through Multi-feature Fusion. 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 533-538 (19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021).

@inproceedings{9b1478ef524a410aa541ecbaf8bece3c,

title = "Real-Time Ship detection from Infrared Images Through Multi-feature Fusion",

abstract = "Real-time ship detection from remote sensing imagery it is a great challenge due to the complex scene, the changeable characteristics of ship target, and the uncontrollable interference factors. In this letter, an infrared ship detection algorithm based on multi-feature fusion is proposed. Based on the fully analysis of the target features, the proposed algorithm combines the cascade rejection mechanism with multi-features through a cascade linear classifier from simple to complex, and uses fine features to accurately distinguish the target from the complex background. Large number of experimental results show that the proposed method can achieve better results in detection performance and real-time processing.",

keywords = "Image Processing, Multi-feature Fusion, Real-time",

author = "Rui Miao and Hongxu Jiang and Fangzheng Tian and Xiaobin Li and Yonghua Zhang and Dong Dong",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021 ; Conference date: 30-09-2021 Through 03-10-2021",

year = "2021",

doi = "10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079",

language = "英语",

series = "19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "533--538",

booktitle = "19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021",

address = "美国",

}

Miao, R, Jiang, H, Tian, F, Li, X, Zhang, Y & Dong, D 2021, Real-Time Ship detection from Infrared Images Through Multi-feature Fusion. 在 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021. 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021, Institute of Electrical and Electronics Engineers Inc., 页码 533-538, 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021, New York, 美国, 30/09/21. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079

Real-Time Ship detection from Infrared Images Through Multi-feature Fusion. / Miao, Rui; Jiang, Hongxu; Tian, Fangzheng 等.
19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 533-538 (19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Real-Time Ship detection from Infrared Images Through Multi-feature Fusion

AU - Miao, Rui

AU - Jiang, Hongxu

AU - Tian, Fangzheng

AU - Li, Xiaobin

AU - Zhang, Yonghua

AU - Dong, Dong

PY - 2021

Y1 - 2021

N2 - Real-time ship detection from remote sensing imagery it is a great challenge due to the complex scene, the changeable characteristics of ship target, and the uncontrollable interference factors. In this letter, an infrared ship detection algorithm based on multi-feature fusion is proposed. Based on the fully analysis of the target features, the proposed algorithm combines the cascade rejection mechanism with multi-features through a cascade linear classifier from simple to complex, and uses fine features to accurately distinguish the target from the complex background. Large number of experimental results show that the proposed method can achieve better results in detection performance and real-time processing.

AB - Real-time ship detection from remote sensing imagery it is a great challenge due to the complex scene, the changeable characteristics of ship target, and the uncontrollable interference factors. In this letter, an infrared ship detection algorithm based on multi-feature fusion is proposed. Based on the fully analysis of the target features, the proposed algorithm combines the cascade rejection mechanism with multi-features through a cascade linear classifier from simple to complex, and uses fine features to accurately distinguish the target from the complex background. Large number of experimental results show that the proposed method can achieve better results in detection performance and real-time processing.

KW - Image Processing

KW - Multi-feature Fusion

KW - Real-time

UR - https://www.scopus.com/pages/publications/85124144631

U2 - 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079

DO - 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079

M3 - 会议稿件

AN - SCOPUS:85124144631

T3 - 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021

SP - 533

EP - 538

BT - 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021

Y2 - 30 September 2021 through 3 October 2021

ER -

Miao R, Jiang H, Tian F, Li X, Zhang Y, Dong D. Real-Time Ship detection from Infrared Images Through Multi-feature Fusion. 在 19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 页码 533-538. (19th IEEE International Symposium on Parallel and Distributed Processing with Applications, 11th IEEE International Conference on Big Data and Cloud Computing, 14th IEEE International Conference on Social Computing and Networking and 11th IEEE International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2021). doi: 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00079

Real-Time Ship detection from Infrared Images Through Multi-feature Fusion

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此