Abstract
In this research, a method is proposed to create and/or update road maps in urban/suburban area using high-resolution satellite images. “Road mask” is defined in this research as a mask of road pixels, which are discriminated from others using a commercial remote sensing software. “Road seed” is defined in this research as a directional point, indicating that a road is passing through the point along the direction. Road seeds are extracted from edge pixels. Road line extraction is conducted in a semi-automatic way by fusing both road mask and road seeds. Experiments are conducted using an IKONOS image of nearby KAWAGOE city, Japan, with a ground resolution of 1 meter, and four bands, i.e. red, green, blue, and near infrared. Experimental results show that the method is valid in extracting main roads in high dense building area and all roads in countryside efficiently.
| Original language | English |
|---|---|
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 34 |
| Publication status | Published - 2002 Jan 1 |
| Externally published | Yes |
| Event | 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002 - Graz, Austria Duration: 2002 Sep 9 → 2002 Sep 13 |
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Keywords
- High-resolution satellite image
- Road extraction
- Semi-automatic
- Urban area
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development
Cite this
Semi-automatic road extraction from high-resolution satellite image. / Zhao, Huijing; Kumagai, Jun; Nakagawa, Masafumi; Shibasaki, Ryosuke.
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 34, 01.01.2002.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Semi-automatic road extraction from high-resolution satellite image
AU - Zhao, Huijing
AU - Kumagai, Jun
AU - Nakagawa, Masafumi
AU - Shibasaki, Ryosuke
PY - 2002/1/1
Y1 - 2002/1/1
N2 - In this research, a method is proposed to create and/or update road maps in urban/suburban area using high-resolution satellite images. “Road mask” is defined in this research as a mask of road pixels, which are discriminated from others using a commercial remote sensing software. “Road seed” is defined in this research as a directional point, indicating that a road is passing through the point along the direction. Road seeds are extracted from edge pixels. Road line extraction is conducted in a semi-automatic way by fusing both road mask and road seeds. Experiments are conducted using an IKONOS image of nearby KAWAGOE city, Japan, with a ground resolution of 1 meter, and four bands, i.e. red, green, blue, and near infrared. Experimental results show that the method is valid in extracting main roads in high dense building area and all roads in countryside efficiently.
AB - In this research, a method is proposed to create and/or update road maps in urban/suburban area using high-resolution satellite images. “Road mask” is defined in this research as a mask of road pixels, which are discriminated from others using a commercial remote sensing software. “Road seed” is defined in this research as a directional point, indicating that a road is passing through the point along the direction. Road seeds are extracted from edge pixels. Road line extraction is conducted in a semi-automatic way by fusing both road mask and road seeds. Experiments are conducted using an IKONOS image of nearby KAWAGOE city, Japan, with a ground resolution of 1 meter, and four bands, i.e. red, green, blue, and near infrared. Experimental results show that the method is valid in extracting main roads in high dense building area and all roads in countryside efficiently.
KW - High-resolution satellite image
KW - Road extraction
KW - Semi-automatic
KW - Urban area
UR - http://www.scopus.com/inward/record.url?scp=85017195679&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017195679&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85017195679
VL - 34
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
ER -