Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1677-1690 |
| Seitenumfang | 14 |
| Fachzeitschrift | International Journal of Remote Sensing |
| Jahrgang | 27 |
| Ausgabenummer | 8 |
| Publikationsstatus | Veröffentlicht - 20 Apr. 2006 |
Abstract
Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacles (namely tree rows and hedges) in open landscapes. Different approaches, such as image segmentation, edge extraction, linking, grouping and 3-dimensional verification with the DSM, are combined to extract the objects of interest. Experiments show that most wind erosion obstacles can be successfully extracted by the developed system.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
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in: International Journal of Remote Sensing, Jahrgang 27, Nr. 8, 20.04.2006, S. 1677-1690.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Automatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images
AU - Zhang, Yongjun
AU - Heipke, C.
AU - Butenuth, M.
AU - Hu, X.
N1 - Funding Information: The authors thank the anonymous reviewers for many helpful comments. This work is supported in parts by the National Natural Science Foundation of China (NSFC) under project number 40301041 and by the German GEOTECHNOLOGIEN project under contract number 03F0374A.
PY - 2006/4/20
Y1 - 2006/4/20
N2 - Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacles (namely tree rows and hedges) in open landscapes. Different approaches, such as image segmentation, edge extraction, linking, grouping and 3-dimensional verification with the DSM, are combined to extract the objects of interest. Experiments show that most wind erosion obstacles can be successfully extracted by the developed system.
AB - Integrating multiple data sources is a very important strategy to obtain relevant solutions in geo-scientific analysis. This paper mainly deals with the integration of Geographical Information System (GIS) data, stereo aerial imagery and a Digital Surface Model (DSM) to extract wind erosion obstacles (namely tree rows and hedges) in open landscapes. Different approaches, such as image segmentation, edge extraction, linking, grouping and 3-dimensional verification with the DSM, are combined to extract the objects of interest. Experiments show that most wind erosion obstacles can be successfully extracted by the developed system.
UR - http://www.scopus.com/inward/record.url?scp=33646779906&partnerID=8YFLogxK
U2 - 10.1080/01431160500406896
DO - 10.1080/01431160500406896
M3 - Article
AN - SCOPUS:33646779906
VL - 27
SP - 1677
EP - 1690
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
SN - 0143-1161
IS - 8
ER -