DocumentCode :
2140880
Title :
A study on the scale-transformation method based on turning point of the scale
Author :
Jinbao Liu ; Hua Yang ; Zhe Yan ; Hao Zhang ; Ziti Jiao
Author_Institution :
Hongxia Cui Sch. of Geogr., Beijing Normal Univ.
Volume :
6
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
4153
Abstract :
How to find and make use of an up-scaling method which can transform the high-resolution image to the low-resolution and can keep the information such as the space relation, the spatial pattern and the fragmental degree which are expressed by the new image just like the reality is the core problem and must be solved in the field of remote sensing. On one hand, the paper compares the spatial analysis method in the landscape ecology with the latest histo-variogram method which was presented by Hao Zhang, et al in 2002 and then analyzes their advantages and shortcomings of their own. On the other hand, we introduce the concept based on histo-variogram and fractal theory: the turning point of the scale. On the basis of the turning point, we can proceed with the scale-transformation piecewise. How to find a feasible scale transformation algorithm between different scaling extents is the main idea in the study. Although Semi-variogram is much more intricate and full of ecological meaning, it shows good potentiality in this aspect. The image for the study is scenes of Tian-an-men district of IKONOS with 1 m resolution
Keywords :
ecology; geophysical techniques; image resolution; remote sensing; IKONOS; Tian-an-men district; fractal theory; fragmental degree; high-resolution image; histo-variogram method; landscape ecology; remote sensing; scale transformation method; semi-variogram; space relation; spatial analysis method; up-scaling method; Analysis of variance; Cities and towns; Environmental factors; Fractals; Geographic Information Systems; Geography; Layout; Remote sensing; Statistics; Turning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370048
Filename :
1370048
Link To Document :
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