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- W2349232105 abstract "On the experimental data basis of QuickBird multi-spectral image and panchromatic image of Quanzhou City in 2006,QuickBird fusion processing was realized by using wavelet fusion algorithm and fusion rule on the support of ERDAS IMAGINE 9. 2. And normalized differential vegetation index( NDVI) was operated to extract five greenbelt types: park greenbelt,productive greenbelt,protective greenbelt,attached greenbelt and other greenbelts under the method of human-computer interaction. The results showed that: 1) The entropy of QuickBird multi-spectral image was 3. 975,and the entropy of QuickBird panchromatic image was 4. 162. While the entropy of QuickBird fusion image was 7. 251,it was higher than two former. Spatial information was more abundant after fusion. 2) The average gradient of QuickBird fusion image was 3. 328. But the average gradient of multi-spectral image was 1. 552,and the average gradient of panchromatic image was 2. 965. Texture feature of fusion image was more obvious. 3) The deviation between QuickBird fusion image and multi-spectral image was0. 035 9,and the deviation between QuickBird fusion image and panchromatic image was 0. 056 2. They were close to zero. So wavelet fusion image maintained well with spectral properties of source images. 4) The precision of greenbelt information extraction was 89. 6%,it was close to 90%." @default.
- W2349232105 created "2016-06-24" @default.
- W2349232105 creator A5073294264 @default.
- W2349232105 date "2013-01-01" @default.
- W2349232105 modified "2023-09-23" @default.
- W2349232105 title "Greenbelt Information Extraction of QuickBird Image Based on Wavelet Fusion in Quanzhou City" @default.
- W2349232105 hasPublicationYear "2013" @default.
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