Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE |
| Subtitle of host publication | The International Society for Optical Engineering |
| Pages | 222-231 |
| Number of pages | 10 |
| Publication status | Published - 1995 |
| Externally published | Yes |
| Event | Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II - Orlando, FL, USA Duration: 19 Apr 1995 → 21 Apr 1995 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 2486 |
| ISSN (Print) | 0277-786X |
Abstract
In this paper we describe a new multi resolution approach to automatic road extraction from aerial images. We make use of the fact that different characteristics of objects such as roads can be best detected in different scales. Two different resolutions of the same image are used, a coarse one with 2 m per pixel, and a fine one with 0.25 m per pixel. In the coarse resolution roads are modeled as bright lines and are extracted by a combination of local and global thresholding. In the fine resolution roads are assumed to have two parallel edges, be bright, and have a homogeneous texture. A multi step procedure has been designed to find the roads according to these criteria. Subsequently both outputs are merged using a rule based system. The developed method has been tested on real imagery, and some preliminary results are reported. Based on the existing experience the multi resolution approach is claimed to be superior to a road extraction in one resolution only.
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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Proceedings of SPIE : The International Society for Optical Engineering. 1995. p. 222-231 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2486).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Hierarchical approach to automatic road extraction from aerial imagery
AU - Heipke, Christian
AU - Steger, Carsten T.
AU - Multhammer, R.
PY - 1995
Y1 - 1995
N2 - In this paper we describe a new multi resolution approach to automatic road extraction from aerial images. We make use of the fact that different characteristics of objects such as roads can be best detected in different scales. Two different resolutions of the same image are used, a coarse one with 2 m per pixel, and a fine one with 0.25 m per pixel. In the coarse resolution roads are modeled as bright lines and are extracted by a combination of local and global thresholding. In the fine resolution roads are assumed to have two parallel edges, be bright, and have a homogeneous texture. A multi step procedure has been designed to find the roads according to these criteria. Subsequently both outputs are merged using a rule based system. The developed method has been tested on real imagery, and some preliminary results are reported. Based on the existing experience the multi resolution approach is claimed to be superior to a road extraction in one resolution only.
AB - In this paper we describe a new multi resolution approach to automatic road extraction from aerial images. We make use of the fact that different characteristics of objects such as roads can be best detected in different scales. Two different resolutions of the same image are used, a coarse one with 2 m per pixel, and a fine one with 0.25 m per pixel. In the coarse resolution roads are modeled as bright lines and are extracted by a combination of local and global thresholding. In the fine resolution roads are assumed to have two parallel edges, be bright, and have a homogeneous texture. A multi step procedure has been designed to find the roads according to these criteria. Subsequently both outputs are merged using a rule based system. The developed method has been tested on real imagery, and some preliminary results are reported. Based on the existing experience the multi resolution approach is claimed to be superior to a road extraction in one resolution only.
UR - http://www.scopus.com/inward/record.url?scp=0029489978&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029489978
SN - 0819418390
SN - 9780819418395
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 222
EP - 231
BT - Proceedings of SPIE
T2 - Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II
Y2 - 19 April 1995 through 21 April 1995
ER -