Interactive analysis of large scale multi-spectral images using a Hilbert curve

Michiharu Niimi, Sei ichiro Kamata, Eiji Kawaguchi

Research output: Contribution to conferencePaper

Abstract

There have been some new developments of an interactive analysis for the multi-spectral images. Recently the authors have proposed an interactive analysis method for classification using a Hilbert curve which is a one-to-one mapping and takes a neighborhood between N-dimensional space and one-dimensional space into consideration. In order to analyze large scale multi-spectral images, we divide a large scale image into subimages which can be analyzed using our proposed method. A problem is that after classifying one of the subimages, how we classify the rest of the subimages using this result effectively. We present a solution of this problem using a tree structure expression. We assign a reliability measure to each pixels on the rest. The reliability measure is based on a distance from a center of a cluster, and the center is considered occurrence information. For the low reliable data, we apply our interactive analysis method for classification again. In the experiment using a LANDSAT image data, We confirmed the effectiveness of the reliability measure because category boundaries on the rest have lower reliability.

Original languageEnglish
Pages1017-1019
Number of pages3
Publication statusPublished - 1995 Jan 1
Externally publishedYes
EventProceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3) - Firenze, Italy
Duration: 1995 Jul 101995 Jul 14

Other

OtherProceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3)
CityFirenze, Italy
Period95/7/1095/7/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Interactive analysis of large scale multi-spectral images using a Hilbert curve'. Together they form a unique fingerprint.

  • Cite this

    Niimi, M., Kamata, S. I., & Kawaguchi, E. (1995). Interactive analysis of large scale multi-spectral images using a Hilbert curve. 1017-1019. Paper presented at Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3), Firenze, Italy, .