Volume 37 Issue 6
Jun.  2012
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YAN Li, ZHAO Zhan, NIE Qian, YAO Yao. Ground Objects Extraction from High-Resolution Remote Sensing Image with Rules[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 636-639.
Citation: YAN Li, ZHAO Zhan, NIE Qian, YAO Yao. Ground Objects Extraction from High-Resolution Remote Sensing Image with Rules[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 636-639.
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Ground Objects Extraction from High-Resolution Remote Sensing Image with Rules

  • 1 School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Ningbo Institute of Surveying and Mapping,36 Heji Street,Ningbo 315000,China

Funds: 国家自然科学基金资助项目(40871172)
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  • Received Date: April 17, 2012
  • Published Date: June 04, 2012
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    • Abstract
  • An object-oriented typical ground objects extraction method based on multi-level rules is presented to solve the problem of ground objects extraction,which are complex and various in high resolution remote sensing image.Image segmentation method based on region is improved with an initial growing by global optimal principle,avoiding seed selecting.Image objects from image segmentation are used as primitive for extraction of ground objects extraction.The typical extraction features are analyzed for different ground objects.Multi-level rules are made based on different features and used to extract ground objects.And overall exaction accuracy of 87.1% is achieved in the experiment.
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