Technology Application |
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THE EXTRACTION OF LAND-USE/COVER INFORMATION IN COMBINATION WITH UPSCALING METHODS AND OBJECT MULTI-FEATURES |
DONG Li-xin 1, WU Bing-fang 1, MENG Li-xia 2, YUAN Chao 3, ZHANG Xi-wang 1, WEI Yan-chang 1 |
1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. Institute of Resource and Safety Engineering, China University of Mining Technology, Beijing 100083, China; 3. School of Info-Physics and Geometric Engineering , Central South University, Changsha 410083, China |
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Abstract On the basis of a case study in Miyun area of Beijing, a new strategy of classification of land-
use/cover integrated with the up-scaling methods and object multi-features in the high resolution SPOT fused image
was introduced. Multi-resolution dataset was built using up-scaling methods, and optimal resolution images were
selected by semi-variance analysis. Relevant optimal spatial resolution images were adopted for different classes.
Object multi-features, which included spectral information, generic shape features, class related features, and
new computed features, were introduced. A multi-scale decision tree was set up based on object multi-features, and
different classes were extracted from multi-resolution images. Afterwards, further discussion and comparison for
improving the efficiency and accuracy of classification were presented. The results show that the proposed image
analysis approach can successfully decrease the heterogeneity, smooth the noise influence, reduce computational
and storage burdens and improve the classification efficiency in the high spatial resolution image.
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Keywords
Xinjiang Middle reaches of the Tarim River
Yingbazha area
Vegetation changes
Remote Sensing (RS)
Geographical information System(GIS)
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Issue Date: 23 June 2009
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