• Corpus ID: 17414802

AUTOMATIC CLASSIFICATION OF LAND COVER FEATURES WITH HIGH RESOLUTION IMAGERY AND LIDAR DATA: AN OBJECT-ORIENTED APPROACH

@inproceedings{Syed2005AUTOMATICCO,
  title={AUTOMATIC CLASSIFICATION OF LAND COVER FEATURES WITH HIGH RESOLUTION IMAGERY AND LIDAR DATA: AN OBJECT-ORIENTED APPROACH},
  author={Sohel Syed and Paul M. Dare and Simon D. Jones},
  year={2005}
}
By using high resolution imagery it is possible to detect individual buildings and tree crowns more easily than with conventional lower resolution satellite image data. However, due to the high spatial resolution, automatic classification of such imagery based only on the spectral characteristics of the features can become difficult, especially, in spectrally homogeneous areas. Object-based image processing techniques overcome this problem by incorporating both spectral and spatial… 

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