Automatic Detection of Absorption Features for Hyperspectral Images

  • Hsu, Pai-Hui (National Science and Technology Center for Disaster Reduction, Taiwan) ;
  • Tseng, Yi-Hsing (Department of Geomatics, National Cheng Kung University, Taiwan)
  • Published : 2003.11.03

Abstract

A new method for automatic detection of absorption features is proposed. This method is based on the modulus maximum of the scale-space image calculated by continuous wavelet transform. This method is computationally efficient as compared to traditional methods. The continuum removal algorithm is than implemented on the detected absorption features to reduce some additive factors caused by other absorbing of materials. The results show that the chlorophyll absorption features are detected exactly.

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