Texture analysis for urban spatial pattern study using SPOT imagery
نویسندگان
چکیده
SPOT panchromatic imagery of Beijing has been studied to capture the unique spatial pattern of the city. Texture analysis, which reveals spatial variations, was adopted to interpret the urban spatial patterns. Statistical and structural texture features were extracted from the SPOT image and evaluated for their capability of detailed mapping of urban structures. Supervised image classifications were performed on combinations of different texture features. The imagery was classified into: lowrise, old multi-storey, newer multi-storey and most-recent multistorey, high-rise, roads, construction sites, open water/vegetated and agricultural areas. The study shows that the classification accuracy of original SPOT imagery is only 46%. By using six textural channels, the accuracy has increased to 72%. The best classification shows the urban spatial pattern well.
منابع مشابه
Study of urban spatial patterns from SPOT panchromatic imagery using textural analysis
The long-time historical evolution and recent rapid development of Beijing, China, present before us a unique urban structure. A 10-metre spatial resolution SPOT panchromatic image of Beijing has been studied to capture the spatial patterns of the city. Supervised image classifications were performed using statistical and structural texture features produced from the image. Textural features, i...
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