Clustering of HIRIS data

  • Huan, Nguyen Van (School of Information and Communication Engineering, INHA University) ;
  • Kim, Hakil (School of Information and Communication Engineering, INHA University) ;
  • Kim, Sun-Hwa (Dept. of Geoinformatic Engr. Image Information Research Center, INHA University) ;
  • Lee, Kyu-Sung (Dept. of Geoinformatic Engr. Image Information Research Center, INHA University)
  • 발행 : 2007.07.11

초록

Along with the development of imaging sensors, hyperspectral imaging technology is growing rapidly and contributing to many fields of science nowadays. However, the bulky size and complex structure make it difficult to be processed. Focused on in this paper is the clustering utility, implemented in HYVEW, a program involving tools and functions to manipulate with hyperspectral images. The clustering process aims to partition the surface of the imaged area into subregions by grouping the spectra subject to the similarity of spectra.

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