A new multiscale line detection approach for aerial image with complex scene

Jing Wang; Takeshi Ikenaga; Satoshi Goto; Kazuo Kunieda; Makoto Iwata; Hirokazu Koizumi; Hideo Shimazu

doi:10.1109/APCCAS.2006.342247

A new multiscale line detection approach for aerial image with complex scene

Jing Wang^*, Takeshi Ikenaga, Satoshi Goto, Kazuo Kunieda, Makoto Iwata, Hirokazu Koizumi, Hideo Shimazu

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Straight lines are important geometric features for aerial image understanding tasks like man-made object detection. As image scene becomes more complex, traditional method like Hough Transform may produce false detections and cannot work efficiently. In this paper, we propose a new multi-scale line detection approach that can efficiently detect semantic lines in aerial image with complex scene. Firstly, a method called "Trichotomy Line Extraction" detects reliable line segments locally. Then multi-scale image system is constructed by wavelet decomposition, from which global information is obtained to detect semantic lines. Experimental results show that proposed method can extract accurate linear features on complex scene aerial images in a robust and efficient way.

Original language	English
Title of host publication	APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
Pages	1968-1971
Number of pages	4
DOIs	https://doi.org/10.1109/APCCAS.2006.342247
Publication status	Published - 2006 Dec 1
Event	APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems - , Singapore Duration: 2006 Dec 4 → 2006 Dec 6

Publication series

Name	IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

Conference	APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
Country/Territory	Singapore
Period	06/12/4 → 06/12/6

Keywords

Man-made object detection
Multi-scale line detection
Straight line
Wavelet decomposition

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/APCCAS.2006.342247

Cite this

Wang, J., Ikenaga, T., Goto, S., Kunieda, K., Iwata, M., Koizumi, H., & Shimazu, H. (2006). A new multiscale line detection approach for aerial image with complex scene. In APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems (pp. 1968-1971). Article 4145804 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS). https://doi.org/10.1109/APCCAS.2006.342247

A new multiscale line detection approach for aerial image with complex scene. / Wang, Jing; Ikenaga, Takeshi; Goto, Satoshi et al.
APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems. 2006. p. 1968-1971 4145804 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, J, Ikenaga, T, Goto, S, Kunieda, K, Iwata, M, Koizumi, H & Shimazu, H 2006, A new multiscale line detection approach for aerial image with complex scene. in APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems., 4145804, IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, pp. 1968-1971, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems, Singapore, 06/12/4. https://doi.org/10.1109/APCCAS.2006.342247

@inproceedings{2089cbc70cd84e66a897b8495ee9fd46,

title = "A new multiscale line detection approach for aerial image with complex scene",

abstract = "Straight lines are important geometric features for aerial image understanding tasks like man-made object detection. As image scene becomes more complex, traditional method like Hough Transform may produce false detections and cannot work efficiently. In this paper, we propose a new multi-scale line detection approach that can efficiently detect semantic lines in aerial image with complex scene. Firstly, a method called {"}Trichotomy Line Extraction{"} detects reliable line segments locally. Then multi-scale image system is constructed by wavelet decomposition, from which global information is obtained to detect semantic lines. Experimental results show that proposed method can extract accurate linear features on complex scene aerial images in a robust and efficient way.",

keywords = "Man-made object detection, Multi-scale line detection, Straight line, Wavelet decomposition",

author = "Jing Wang and Takeshi Ikenaga and Satoshi Goto and Kazuo Kunieda and Makoto Iwata and Hirokazu Koizumi and Hideo Shimazu",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/APCCAS.2006.342247",

language = "English",

isbn = "1424403871",

series = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",

pages = "1968--1971",

booktitle = "APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems",

note = "APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems ; Conference date: 04-12-2006 Through 06-12-2006",

}

TY - GEN

T1 - A new multiscale line detection approach for aerial image with complex scene

AU - Wang, Jing

AU - Ikenaga, Takeshi

AU - Goto, Satoshi

AU - Kunieda, Kazuo

AU - Iwata, Makoto

AU - Koizumi, Hirokazu

AU - Shimazu, Hideo

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Straight lines are important geometric features for aerial image understanding tasks like man-made object detection. As image scene becomes more complex, traditional method like Hough Transform may produce false detections and cannot work efficiently. In this paper, we propose a new multi-scale line detection approach that can efficiently detect semantic lines in aerial image with complex scene. Firstly, a method called "Trichotomy Line Extraction" detects reliable line segments locally. Then multi-scale image system is constructed by wavelet decomposition, from which global information is obtained to detect semantic lines. Experimental results show that proposed method can extract accurate linear features on complex scene aerial images in a robust and efficient way.

AB - Straight lines are important geometric features for aerial image understanding tasks like man-made object detection. As image scene becomes more complex, traditional method like Hough Transform may produce false detections and cannot work efficiently. In this paper, we propose a new multi-scale line detection approach that can efficiently detect semantic lines in aerial image with complex scene. Firstly, a method called "Trichotomy Line Extraction" detects reliable line segments locally. Then multi-scale image system is constructed by wavelet decomposition, from which global information is obtained to detect semantic lines. Experimental results show that proposed method can extract accurate linear features on complex scene aerial images in a robust and efficient way.

KW - Man-made object detection

KW - Multi-scale line detection

KW - Straight line

KW - Wavelet decomposition

UR - http://www.scopus.com/inward/record.url?scp=50249151851&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=50249151851&partnerID=8YFLogxK

U2 - 10.1109/APCCAS.2006.342247

DO - 10.1109/APCCAS.2006.342247

M3 - Conference contribution

AN - SCOPUS:50249151851

SN - 1424403871

SN - 9781424403875

T3 - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

SP - 1968

EP - 1971

BT - APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems

T2 - APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems

Y2 - 4 December 2006 through 6 December 2006

ER -

A new multiscale line detection approach for aerial image with complex scene

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this