URBAN COMPLEXITY ESTIMATION INDICES BASED ON 3D DISCRETE WAVELET TRANSFORM OF REMOTELY SENSED IMAGERY;THE PRELIMINARY INTERPRETATION WITH LAND COVER MAP

  • Yoo, Hee-Young (Dept. of Earth science Education, Seoul National University) ;
  • Lee, Ki-Won (Div. of Information Engineering, Hansung University) ;
  • Kwon, Byung-Doo (Dept. of Earth science Education, Seoul National University)
  • Published : 2007.10.31

Abstract

Each class in remotely sensed imagery has different spectral and spatial characteristics. Natural features have relatively smaller spatial changes than spectral changes. Meanwhile, urban area in which buildings, roads, and cars are included is inclined to face more changes of spatial variation than spectral one. This study aims to propose the new urban complexity index (UCI) based on the 3D DWT computation of remotely sensed imageries considering these characteristics. And then we analyze relation between index and land cover map. The 3DWUCI values are related to class and the indices of urban area are greater than natural area. The proposed UCI could be used to express effectively the standard of urban complexity over a wide area.

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