Volume 36 Issue 11
Nov.  2011
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WU Guiping, XIAO Pengfeng, FENG Xuezhi, WANG Ke. Object Recognition for High-resolution Remotely Sensed Imagery Based on Energy in Frequency Domain[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1294-1297.
Citation: WU Guiping, XIAO Pengfeng, FENG Xuezhi, WANG Ke. Object Recognition for High-resolution Remotely Sensed Imagery Based on Energy in Frequency Domain[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1294-1297.
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Object Recognition for High-resolution Remotely Sensed Imagery Based on Energy in Frequency Domain

  • 1Department of Geographical Information Sciences,Nanjing University,22 Hankou Road,Nanjing 210093,China

Funds: 国家高技术研究发展计划资助项目(2008AA12Z106);国家自然科学基金资助项目(40801166,40771137)
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  • Received Date: September 14, 2011
  • Published Date: November 04, 2011
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    • Abstract
  • An object recognition method for high-resolution remotely sensed imagery based on energy in frequency domain was proposed.Firstly,the pre-processed remote sensing images of typical objects were transformed from spatial domain into frequency domain by using the two-dimensional fast Fourier transform processing.Then the selected coefficients were composed feature vectors and sent into SVM(support vector machine) for training.Finally,SVM was used for recognition for test samples of typical objects,and the effect of feature window length on the object recognition rate has been investigated.The experimental results show that each object sample achieves comparatively high correct recognition rate when the width of feature window is 6,and the overall recognition rate is up to 88.96%.
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