Contour extraction of urban green spaces along roads using high resolution remote sensing imagery based on the spectrum space
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P237

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    Abstract:

    A contour extraction method for urban green spaces along roads was proposed based on the spectrum domain.Remotely sensed images were transformed into the Fourier domain,the spectrum energy was analyzed,and the direction and cut-off frequency corresponding to the contours of green spaces along roads were established.Gabor filters were specifically designed to extract the contours of these green spaces.The central lines on roads were detected by filtering at a low frequency,and the green spaces along the roads were extracted as a buffer of these central lines.The results showed that the filter parameters can be set accurately based on the frequency spectrum analysis of image features,and the contours of urban green spaces along roads can be effectively extracted.

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ZHAO Haohao. Contour extraction of urban green spaces along roads using high resolution remote sensing imagery based on the spectrum space[J]. Journal of Nanjing University of Information Science & Technology,2020,12(5):625-633

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  • Received:July 06,2018
  • Online: October 29,2020
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