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《Tropical Geography》 2011-04
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Study on Application of Data Fusion to Road Extraction

ZOU Lili,CUI Haishan* (Department of Geography,Guangzhou University,Guangzhou 510006,China)  
With the two different remote sensing data sources(SAR and SPOT multi-active spectrum),and through data preprocessing such as geometry correction,radiation correction and noise reduction, the paper makes a comparative analysis of the data fusion technology based on PCA(Principal Component Analysis), BT(Brovey Transform), WT(Wavelet Transform)and HPF(High-Pass Filtering), then extracts road from fused image and SPOT multi-active spectrum. The result shows that PCA and HPF have the best effect, where the vein is clear,the rate of wrong classification and miss classification are lower, WT comes the second, and BT has poor effect relatively. The original SPOT image does not extract road effectively,its wrong classification is 29.4% higher than that of PCA,and 18% higher than that of BT.
【Fund】: 国家自然科学基金项目(30970482)
【CateGory Index】: TP751
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