DocumentCode
2133122
Title
An application research on the landslide interpretation based on the technology of remote sensing three-dimension visualization
Author
Hongyang, Cao ; Renshu, Yang ; Xinjian, Shan ; Weiying, Guo
Author_Institution
Dept. of Mech. & Constr. Eng., China Univ. of Min. & Technol., Beijing, China
Volume
4
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
2284
Abstract
The fusion technique of remote sensing image and digital elevation model (DEM) is applied and the 3D image of researched region is made. The landslides are interpreted through the 3D image. The conclusion shows that the proposed method is better than the traditional methods. Landslide is a serious geologic hazard with serious results for the environment and zoology. Remote sensing interpretation is an important means to study the distribution of landslides. The technology of remote sensing three-dimension visualization and image dynamical analysis is synthetically utilizing the remote sensing (RS) and geography information system (GIS) to realize the three-dimension recurring and continuous cartoon of landslides. It provides a advanced method for studying landslides. The critical technology involves in several parts: the data fusion of multi-type RS images, making digital elevation model (DEM), fusion of DEM and image. It will effectively gain the information of landslides of research area through the dynamical analysis technology. We have analyzed some instances with the technology. It shows the three-dimension recurring is an important method for landslide study.
Keywords
data visualisation; erosion; geographic information systems; hydrological techniques; sensor fusion; terrain mapping; 3D visualization; digital elevation model; geographic information system; geologic hazard; image dynamical analysis; landslides; remote sensing; Data visualization; Digital elevation models; Geography; Geology; Hazards; Image analysis; Information analysis; Remote sensing; Terrain factors; Zoology;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369740
Filename
1369740
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