Details
| Original language | English |
|---|---|
| Pages | 141-147 |
| Number of pages | 7 |
| Publication status | Published - 2007 |
| Event | Photogrammetric Image Analysis, PIA 2007 - Munich, Germany Duration: 19 Sept 2007 → 21 Sept 2007 |
Conference
| Conference | Photogrammetric Image Analysis, PIA 2007 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 19 Sept 2007 → 21 Sept 2007 |
Abstract
In this paper an approach to road extraction in open landscape regions from IKONOS multispectral imagery is presented which combines a line-based approach for road extraction with area-based colour segmentation. Existing road databases are used in two ways: firstly, to estimate scene dependent parameters of the line-based approach and secondly to exclude non road regions from the extraction, also exploiting the colour information. The images and reference data for the evaluation are identical to the information used in a recently conducted EuroSDR test on automatic road extraction. Therefore, the results can easily be compared with the published ones. It is shown that our new approach with reduced human interaction for the parameter optimisation obtains results similar to the best ones of the EuroSDR test.
Keywords
- GIS, Imagery, MSI, Quality, Road extraction
ASJC Scopus subject areas
- Computer Science(all)
- Computer Vision and Pattern Recognition
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2007. 141-147 Paper presented at Photogrammetric Image Analysis, PIA 2007, Munich, Germany.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Automatic road extraction from remote sensing imagery incorporating prior information and colour segmentation
AU - Ziems, M.
AU - Gerke, M.
AU - Heipke, C.
PY - 2007
Y1 - 2007
N2 - In this paper an approach to road extraction in open landscape regions from IKONOS multispectral imagery is presented which combines a line-based approach for road extraction with area-based colour segmentation. Existing road databases are used in two ways: firstly, to estimate scene dependent parameters of the line-based approach and secondly to exclude non road regions from the extraction, also exploiting the colour information. The images and reference data for the evaluation are identical to the information used in a recently conducted EuroSDR test on automatic road extraction. Therefore, the results can easily be compared with the published ones. It is shown that our new approach with reduced human interaction for the parameter optimisation obtains results similar to the best ones of the EuroSDR test.
AB - In this paper an approach to road extraction in open landscape regions from IKONOS multispectral imagery is presented which combines a line-based approach for road extraction with area-based colour segmentation. Existing road databases are used in two ways: firstly, to estimate scene dependent parameters of the line-based approach and secondly to exclude non road regions from the extraction, also exploiting the colour information. The images and reference data for the evaluation are identical to the information used in a recently conducted EuroSDR test on automatic road extraction. Therefore, the results can easily be compared with the published ones. It is shown that our new approach with reduced human interaction for the parameter optimisation obtains results similar to the best ones of the EuroSDR test.
KW - GIS
KW - Imagery
KW - MSI
KW - Quality
KW - Road extraction
UR - http://www.scopus.com/inward/record.url?scp=79952340875&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:79952340875
SP - 141
EP - 147
T2 - Photogrammetric Image Analysis, PIA 2007
Y2 - 19 September 2007 through 21 September 2007
ER -