Interactive system for classifying multispectral images using a Hilbert curve

Michiharu Niimi, Sei ichiro Kamata, Eiji Kawaguchi

研究成果: Conference contribution

抄録

There are several techniques for analyzing multispectral images. In general, those are performed by linear transformation methods. In this paper, we present a new interactive method for classifying multispectral images using a Hilbert curve which is a one-to-one mapping from N- dimensional space to one dimensional space and preserves the neighborhood as much as possible. The merit of our system is that the user can extract clusters without computing any distance in N- dimensional space, and analyze multidimensional data from gross data distribution to fine data distribution hierarchically. In the experiments using LANDSAT TM data, it is confirmed that the user can get the real time response from the system after once making the data tables, and understand distribution of data that correspond to categories in feature space.

本文言語English
ホスト出版物のタイトルProceedings of SPIE - The International Society for Optical Engineering
出版社Society of Photo-Optical Instrumentation Engineers
ページ1647-1655
ページ数9
3/-
ISBN(印刷版)0819418587
出版ステータスPublished - 1995 1 1
外部発表はい
イベントVisual Communications and Image Processing '95 - Taipei, Taiwan
継続期間: 1995 5 241995 5 26

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
番号3/-
2501
ISSN(印刷版)0277-786X

Other

OtherVisual Communications and Image Processing '95
CityTaipei, Taiwan
Period95/5/2495/5/26

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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