基于船头特征提取和轮廓定位的港口舰船检测

Fei Wu; Bo Wang; Zhi Qiang Zhou; Sun Li

doi:10.15918/j.tbit1001-0645.2018.04.010

基于船头特征提取和轮廓定位的港口舰船检测

Translated title of the contribution: Detection of Ships in Harbor Based on Ship Head Feature Extraction and Contour Localization

Fei Wu, Bo Wang, Zhi Qiang Zhou, Sun Li

School of Automation

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

In this paper,a new method was proposed to detect inshore ships in high-resolution optical remote sensing images.Firstly,suspected ship head targets,been transformed into the polar coordinate system,were classified with support vector machine(SVM)to obtain head positions and directions of candidate ships.Secondly,the ship direction was refined by utilizing the line segments information around the ship.At last,the ship body was detected using grayscale and edge information in order to finally confirm this ship target.Experiment results show that the proposed method can accurately and robustly detect inshore ships.

Translated title of the contribution	Detection of Ships in Harbor Based on Ship Head Feature Extraction and Contour Localization
Original language	Chinese (Traditional)
Pages (from-to)	387-392
Number of pages	6
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	38
Issue number	4
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2018.04.010
Publication status	Published - 1 Apr 2018

Access to Document

10.15918/j.tbit1001-0645.2018.04.010

Cite this

@article{5462741cfc5d40c09b175027b648f849,

title = "基于船头特征提取和轮廓定位的港口舰船检测",

abstract = "In this paper,a new method was proposed to detect inshore ships in high-resolution optical remote sensing images.Firstly,suspected ship head targets,been transformed into the polar coordinate system,were classified with support vector machine(SVM)to obtain head positions and directions of candidate ships.Secondly,the ship direction was refined by utilizing the line segments information around the ship.At last,the ship body was detected using grayscale and edge information in order to finally confirm this ship target.Experiment results show that the proposed method can accurately and robustly detect inshore ships.",

keywords = "Line segments detection, Ship detection, Ship head feature",

author = "Fei Wu and Bo Wang and Zhou, {Zhi Qiang} and Sun Li",

year = "2018",

month = apr,

day = "1",

doi = "10.15918/j.tbit1001-0645.2018.04.010",

language = "繁体中文",

volume = "38",

pages = "387--392",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

issn = "1001-0645",

publisher = "Beijing Institute of Technology",

number = "4",

}

TY - JOUR

T1 - 基于船头特征提取和轮廓定位的港口舰船检测

AU - Wu, Fei

AU - Wang, Bo

AU - Zhou, Zhi Qiang

AU - Li, Sun

PY - 2018/4/1

Y1 - 2018/4/1

N2 - In this paper,a new method was proposed to detect inshore ships in high-resolution optical remote sensing images.Firstly,suspected ship head targets,been transformed into the polar coordinate system,were classified with support vector machine(SVM)to obtain head positions and directions of candidate ships.Secondly,the ship direction was refined by utilizing the line segments information around the ship.At last,the ship body was detected using grayscale and edge information in order to finally confirm this ship target.Experiment results show that the proposed method can accurately and robustly detect inshore ships.

AB - In this paper,a new method was proposed to detect inshore ships in high-resolution optical remote sensing images.Firstly,suspected ship head targets,been transformed into the polar coordinate system,were classified with support vector machine(SVM)to obtain head positions and directions of candidate ships.Secondly,the ship direction was refined by utilizing the line segments information around the ship.At last,the ship body was detected using grayscale and edge information in order to finally confirm this ship target.Experiment results show that the proposed method can accurately and robustly detect inshore ships.

KW - Line segments detection

KW - Ship detection

KW - Ship head feature

UR - http://www.scopus.com/inward/record.url?scp=85052116300&partnerID=8YFLogxK

U2 - 10.15918/j.tbit1001-0645.2018.04.010

DO - 10.15918/j.tbit1001-0645.2018.04.010

M3 - 文章

AN - SCOPUS:85052116300

SN - 1001-0645

VL - 38

SP - 387

EP - 392

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 4

ER -

基于船头特征提取和轮廓定位的港口舰船检测

Abstract

Access to Document

Other files and links

Fingerprint

Cite this