Automated roadway feature extraction from high-resolution satellite images

Hassan A. Karimi; Xiaolong Dai; Aemal J. Khattak; Joseph E. Hummer

Automated roadway feature extraction from high-resolution satellite images

Hassan A. Karimi, Xiaolong Dai, Aemal J. Khattak, Joseph E. Hummer

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, the requirements and algorithms for automated extraction of roadway inventory features from remotely sensed imagery are discussed. The roadway features under consideration include not only the roadway network itself but also other features, such as cover-type features (e.g., material types and land use) and measurement-type features (e.g., road width and road curvature) used in practice. The procedures, techniques, and tools used and developed in the experiments for extracting roadway features are discussed. Experimental results using one-meter-resolution satellite imagery are presented. These results show that the high-resolution remotely sensed imagery holds promising potentials for roadway inventory data collection.

Original language	English (US)
Pages	2065-2067
Number of pages	3
State	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5) - Seattle, WA, USA Duration: Jul 6 1998 → Jul 10 1998

Other

Other	Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5)
City	Seattle, WA, USA
Period	7/6/98 → 7/10/98

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Cite this

@conference{191204ff4b394df89724a590a31883ee,

title = "Automated roadway feature extraction from high-resolution satellite images",

abstract = "In this paper, the requirements and algorithms for automated extraction of roadway inventory features from remotely sensed imagery are discussed. The roadway features under consideration include not only the roadway network itself but also other features, such as cover-type features (e.g., material types and land use) and measurement-type features (e.g., road width and road curvature) used in practice. The procedures, techniques, and tools used and developed in the experiments for extracting roadway features are discussed. Experimental results using one-meter-resolution satellite imagery are presented. These results show that the high-resolution remotely sensed imagery holds promising potentials for roadway inventory data collection.",

author = "Karimi, {Hassan A.} and Xiaolong Dai and Khattak, {Aemal J.} and Hummer, {Joseph E.}",

year = "1998",

language = "English (US)",

pages = "2065--2067",

note = "Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5) ; Conference date: 06-07-1998 Through 10-07-1998",

}

TY - CONF

T1 - Automated roadway feature extraction from high-resolution satellite images

AU - Karimi, Hassan A.

AU - Dai, Xiaolong

AU - Khattak, Aemal J.

AU - Hummer, Joseph E.

PY - 1998

Y1 - 1998

N2 - In this paper, the requirements and algorithms for automated extraction of roadway inventory features from remotely sensed imagery are discussed. The roadway features under consideration include not only the roadway network itself but also other features, such as cover-type features (e.g., material types and land use) and measurement-type features (e.g., road width and road curvature) used in practice. The procedures, techniques, and tools used and developed in the experiments for extracting roadway features are discussed. Experimental results using one-meter-resolution satellite imagery are presented. These results show that the high-resolution remotely sensed imagery holds promising potentials for roadway inventory data collection.

AB - In this paper, the requirements and algorithms for automated extraction of roadway inventory features from remotely sensed imagery are discussed. The roadway features under consideration include not only the roadway network itself but also other features, such as cover-type features (e.g., material types and land use) and measurement-type features (e.g., road width and road curvature) used in practice. The procedures, techniques, and tools used and developed in the experiments for extracting roadway features are discussed. Experimental results using one-meter-resolution satellite imagery are presented. These results show that the high-resolution remotely sensed imagery holds promising potentials for roadway inventory data collection.

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M3 - Paper

AN - SCOPUS:0031637154

SP - 2065

EP - 2067

T2 - Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5)

Y2 - 6 July 1998 through 10 July 1998

ER -

Automated roadway feature extraction from high-resolution satellite images

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ASJC Scopus subject areas

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